Internship at MERL

MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.



Program Overview

The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:

  1. Artificial Intelligence including:
    1. Machine Learning
    2. Computer Vision
    3. Speech Recognition
    4. Acoustic Analysis
    5. Data Analytics
  2. Cyber-Physical Systems including:
    1. Signal Processing
    2. Digital & Optical Communications
    3. Multi-Physical Modeling
    4. Planning, Optimization & Control
    5. Dynamical Systems
  3. Design of Algorithms and Semiconductor Devices

The primary intent of MERL's internship program is to provide interns with experiences that help them enhance and accelerate their professional career, while contributing to new or ongoing initiatives at MERL. Interns are exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. Interns have a chance to become familiar with the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.

MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.

Set Your Own Path - Internships at MERL

The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around January/February to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.

Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL organizes a number of social activities for interns. Some past activities included BBQ outings, whale watching and movie nights.

The key benefits of interning at MERL:

  1. Experience: At MERL, you work closely with top researchers and participate in a lab-wide R&D culture with a unique mix of curiosity-driven research and market-oriented prototyping.
  2. Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.
  3. Compensation: MERL offers competitive salaries based on relevant education, skills, and work experience.
  4. Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; and entertainment events for interns to get to know Boston and each other.
  5. Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many venues.
  6. Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.
View Internship Openings
  • Recent Publications with MERL Interns

    Publications are an important output of MERL's research, and internships often lead to one or more publications. Below is a sample listing of some recent publications that include interns as co-authors. Please visit our publications page for a complete listing of MERL papers.

    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning", arXiv, January 2022.
      BibTeX arXiv
      • @article{Fujihashi2022jan2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning},
      • journal = {arXiv},
      • year = 2022,
      • month = jan,
      • url = {https://arxiv.org/abs/2201.04557}
      • }
    •  Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022.
      BibTeX TR2022-006 PDF
      • @inproceedings{Lohit2022jan,
      • author = {Lohit, Suhas and Jones, Michael J.},
      • title = {Model Compression Using Optimal Transport},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2022,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2022-006}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization", IEEE International Conference on Consumer Electronics (ICCE), January 2022.
      BibTeX TR2022-005 PDF
      • @inproceedings{Fujihashi2022jan,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization},
      • booktitle = {IEEE International Conference on Consumer Electronics (ICCE)},
      • year = 2022,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2022-005}
      • }
    •  Yu, L., Liu, D., Mansour, H., Boufounos, P.T., "Fast and High-Quality Blind Multi-Spectral Image Pansharpening", IEEE Transactions on Geoscience and Remote Sensing, January 2022.
      BibTeX TR2022-004 PDF
      • @article{Yu2022jan,
      • author = {Yu, Lantao and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
      • title = {Fast and High-Quality Blind Multi-Spectral Image Pansharpening},
      • journal = {IEEE Transactions on Geoscience and Remote Sensing},
      • year = 2022,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2022-004}
      • }
    •  Teo, K.H., Zhang, Y., Chowdhury, N., Rakheja, S., Ma, R., Xie, Q., Yagyu, E., Yamanaka, K., Li, K., Palacios, T., "Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects", Journal of Applied Physics, DOI: 10.1063/​5.0061555, December 2021.
      BibTeX TR2022-002 PDF
      • @article{Teo2021dec,
      • author = {Teo, Koon Hoo and Zhang, Yuhao and Chowdhury, Nadim and Rakheja, Shaloo and Ma, Rui and Xie, Qingyun and Yagyu, Eiji and Yamanaka, Koji and Li, Kexin and Palacios, Tomas},
      • title = {Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects},
      • journal = {Journal of Applied Physics},
      • year = 2021,
      • month = dec,
      • doi = {10.1063/5.0061555},
      • url = {https://www.merl.com/publications/TR2022-002}
      • }
    •  Nohra, C.J., Raghunathan, A., Sahinidis, N.V., "SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs", Mathematical Programming B, December 2021.
      BibTeX TR2022-001 PDF
      • @article{Nohra2021dec,
      • author = {Nohra, Carlos J. and Raghunathan, Arvind and Sahinidis, Nikolaos V.},
      • title = {SDP-quality bounds via convex quadratic relaxations for global optimization of mixed-integer quadratic programs},
      • journal = {Mathematical Programming B},
      • year = 2021,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-001}
      • }
    •  Jha, D.K., Romeres, D., Yerazunis, W.S., Nikovski, D.N., "Imitation and Supervised Learning of Compliance for Robotic Assembly", arXiv, December 2021.
      BibTeX
      • @article{Jha2021dec,
      • author = {Jha, Devesh K. and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel N.},
      • title = {Imitation and Supervised Learning of Compliance for Robotic Assembly},
      • journal = {arXiv},
      • year = 2021,
      • month = dec
      • }
    •  Ke, L., Peng, K.-C., Lyu, S., "Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition", arXiv, December 2021.
      BibTeX
      • @article{Ke2021dec,
      • author = {Ke, Lipeng and Peng, Kuan-Chuan and Lyu, Siwei},
      • title = {Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition},
      • journal = {arXiv},
      • year = 2021,
      • month = dec
      • }
    •  Bonzanini, A.D., Mesbah, A., Di Cairano, S., "On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments", IEEE Conference on Decision and Control (CDC), December 2021.
      BibTeX TR2021-145 PDF
      • @inproceedings{Bonzanini2021dec,
      • author = {Bonzanini, Angelo Domenico and Mesbah, Ali and Di Cairano, Stefano},
      • title = {On the Stability Properties of Perception-aware Chance-constrained MPC in Uncertain Environments},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2021,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2021-145}
      • }
    •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", arXiv, December 2021.
      BibTeX arXiv
      • @article{Smedemark-Margulies2021dec,
      • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
      • journal = {arXiv},
      • year = 2021,
      • month = dec,
      • url = {https://arxiv.org/abs/2112.09796}
      • }
    •  Yu, X., van Baar, J., Chen, S., Sullivan, A., "Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph", International Conference on 3D Vision (3DV), December 2021.
      BibTeX TR2021-143 PDF
      • @inproceedings{Yu2021dec,
      • author = {Yu, Xin and van Baar, Jeroen and Chen, Siheng and Sullivan, Alan},
      • title = {Keypoint-aligned 3D Human Shape Recovery from A Single Imagewith Bilayer-Graph},
      • booktitle = {International Conference on 3D Vision (3DV)},
      • year = 2021,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2021-143}
      • }
    •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, December 2021.
      BibTeX TR2021-144 PDF
      • @article{Wang2021dec,
      • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2021,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2021-144}
      • }
    •  Kojima, K., Tang, Y., Wang, Y., Koike-Akino, T., "Machine Learning for design and optimization of photonic devices" in Machine Learning for Future Fiber Optic Communication Systems (Elsevier Book), November 2021.
      BibTeX TR2021-142 PDF
      • @incollection{Kojima2021nov,
      • author = {Kojima, Keisuke and Tang, Yingheng and Wang, Ye and Koike-Akino, Toshiaki},
      • title = {Machine Learning for design and optimization of photonic devices},
      • booktitle = {Machine Learning for Future Fiber Optic Communication Systems (Elsevier Book)},
      • year = 2021,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2021-142}
      • }
    •  Furuichi, T., Ma, R., Koike-Akino, T., Komatsuszaki, Y., "Full-Range Three-Stage 16GSa/s Riemann Pump RF-Power DAC in GaN HEMT", Asia-Pacific Microwave Conference (APMC) 2021, November 2021.
      BibTeX TR2021-141 PDF
      • @inproceedings{Furuichi2021nov,
      • author = {Furuichi, Tomoyuki and Ma, Rui and Koike-Akino, Toshiaki and Komatsuszaki, Yuji},
      • title = {Full-Range Three-Stage 16GSa/s Riemann Pump RF-Power DAC in GaN HEMT},
      • booktitle = {Asia-Pacific Microwave Conference (APMC) 2021},
      • year = 2021,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2021-141}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "Automated Controller Calibration by Kalman Filtering", arXiv, November 2021.
      BibTeX arXiv
      • @article{Menner2021nov,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Automated Controller Calibration by Kalman Filtering},
      • journal = {arXiv},
      • year = 2021,
      • month = nov,
      • url = {https://arxiv.org/abs/2111.10832}
      • }
    •  Mowlavi, S., Nabi, S., "Optimal control of PDEs using physics-informed neural networks", arXiv, November 2021.
      BibTeX
      • @article{Mowlavi2021nov,
      • author = {Mowlavi, Saviz and Nabi, Saleh},
      • title = {Optimal control of PDEs using physics-informed neural networks},
      • journal = {arXiv},
      • year = 2021,
      • month = nov
      • }
    •  Yu, J., Pu, W., Koike-Akino, T., Wang, Y., Orlik, P.V., "Multi-Band Wi-Fi Sensing with Granularity Matching", arXiv, November 2021.
      BibTeX arXiv
      • @article{Yu2021nov,
      • author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V.},
      • title = {Multi-Band Wi-Fi Sensing with Granularity Matching},
      • journal = {arXiv},
      • year = 2021,
      • month = nov,
      • url = {http://arxiv.org/abs/2112.14006}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Soft Delivery: Survey on a New Paradigm for Wireless and Mobile Multimedia Streaming", arXiv, November 2021.
      BibTeX arXiv
      • @article{Fujihashi2021nov,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Soft Delivery: Survey on a New Paradigm for Wireless and Mobile Multimedia Streaming},
      • journal = {arXiv},
      • year = 2021,
      • month = nov,
      • url = {https://arxiv.org/abs/2111.08189}
      • }
    •  Wang, P., Koike-Akino, T., Ma, R., Orlik, P.V., Yamashita, G., Tsujita, W., Nakajima, M., "Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50926.2021.9566940, November 2021.
      BibTeX TR2021-098 PDF
      • @inproceedings{Wang2021nov,
      • author = {Wang, Perry and Koike-Akino, Toshiaki and Ma, Rui and Orlik, Philip V. and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
      • title = {Learning-Based THz Multi-Layer Imaging for High-Capacity Positioning},
      • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
      • year = 2021,
      • month = nov,
      • publisher = {IEEE},
      • doi = {10.1109/IRMMW-THz50926.2021.9566940},
      • issn = {2162-2035},
      • isbn = {978-1-7281-9424-0},
      • url = {https://www.merl.com/publications/TR2021-098}
      • }
    •  Wang, B., Zhou, L., Miyoshi, M., Inoue, H., Kanemaru, M., "Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS52562.2021.9634328, November 2021, pp. 944-948.
      BibTeX TR2021-139 PDF
      • @inproceedings{Wang2021nov3,
      • author = {Wang, Bingnan and Zhou, Lei and Miyoshi, Masahito and Inoue, hiroshi and Kanemaru, Makoto},
      • title = {Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory},
      • booktitle = {2021 24th International Conference on Electrical Machines and Systems (ICEMS)},
      • year = 2021,
      • pages = {944--948},
      • month = nov,
      • publisher = {IEEE},
      • doi = {10.23919/ICEMS52562.2021.9634328},
      • url = {https://www.merl.com/publications/TR2021-139}
      • }
    •  Yao, G., WANG, P., Berntorp, K., Mansour, H., Boufounos, P.T., Orlik, P.V., "Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar", International Conference on Information Fusion (FUSION), November 2021, pp. 1-8.
      BibTeX TR2021-138 PDF
      • @inproceedings{Yao2021nov,
      • author = {Yao, Gang and WANG, PU and Berntorp, Karl and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V.},
      • title = {Extended Object Tracking with Spatial Model Adaptation Using Automotive Radar},
      • booktitle = {International Conference on Information Fusion (FUSION)},
      • year = 2021,
      • pages = {1--8},
      • month = nov,
      • isbn = {IEEE Xplore},
      • url = {https://www.merl.com/publications/TR2021-138}
      • }
    •  Wang, Z.-Q., Wichern, G., Le Roux, J., "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.
      BibTeX TR2021-137 PDF
      • @article{Wang2021nov2,
      • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
      • title = {On The Compensation Between Magnitude and Phase in Speech Separation},
      • journal = {IEEE Signal Processing Letters},
      • year = 2021,
      • volume = 28,
      • pages = {2018--2022},
      • month = nov,
      • doi = {10.1109/LSP.2021.3116502},
      • url = {https://www.merl.com/publications/TR2021-137}
      • }
    •  De Silva, U., Ma, R., Koike-Akino, T., Yamashita, A., Nakamizo, H., "Modular 1D-CNN Architecture for Real-time Digital Pre-distortion", arXiv, October 2021.
      BibTeX arXiv
      • @article{DeSilva2021oct,
      • author = {De Silva, Udara and Ma, Rui and Koike-Akino, Toshiaki and Yamashita, Ao and Nakamizo, Hideyuki},
      • title = {Modular 1D-CNN Architecture for Real-time Digital Pre-distortion},
      • journal = {arXiv},
      • year = 2021,
      • month = oct,
      • url = {https://arxiv.org/abs/2111.09637}
      • }
    •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., Haruna, M., "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals", International IEEE EMBS Conference on Neural Engineering, DOI: 10.1109/​EMBC46164.2021.9630194, October 2021.
      BibTeX TR2021-136 PDF Video Presentation
      • @inproceedings{Demir2021oct,
      • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz and Haruna, Masaki},
      • title = {EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals},
      • booktitle = {International IEEE EMBS Conference on Neural Engineering},
      • year = 2021,
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/EMBC46164.2021.9630194},
      • issn = {2694-0604},
      • isbn = {978-1-7281-1179-7},
      • url = {https://www.merl.com/publications/TR2021-136}
      • }
    •  Zhang, Z., Liu, D., "A Graph-based Method to Extract Broken Rotor Bar Fault Signature in Varying Speed Operation", ICEMS 2021, DOI: 10.23919/​ICEMS52562.2021.9634664, October 2021.
      BibTeX TR2021-135 PDF
      • @inproceedings{Zhang2021oct,
      • author = {Zhang, Zhe and Liu, Dehong},
      • title = {A Graph-based Method to Extract Broken Rotor Bar Fault Signature in Varying Speed Operation},
      • booktitle = {ICEMS 2021},
      • year = 2021,
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.23919/ICEMS52562.2021.9634664},
      • issn = {2642-5513},
      • isbn = {978-8-9865-1021-8},
      • url = {https://www.merl.com/publications/TR2021-135}
      • }
    •  Srinivasan, M., Chakrabarty, A., Quirynen, R., yoshikawa, N., Mariyama, T., Di Cairano, S., "Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs", IFAC Modeling, Estimation and Control Conference (MECC), DOI: 10.1016/​j.ifacol.2021.11.237, October 2021, pp. 598-604.
      BibTeX TR2021-134 PDF
      • @inproceedings{Srinivasan2021oct,
      • author = {Srinivasan, Mohit and Chakrabarty, Ankush and Quirynen, Rien and yoshikawa, nobuyuki and Mariyama, Toshisada and Di Cairano, Stefano},
      • title = {Fast Multi-Robot Motion Planning via Imitation Learning of Mixed-Integer Programs},
      • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
      • year = 2021,
      • pages = {598--604},
      • month = oct,
      • doi = {10.1016/j.ifacol.2021.11.237},
      • url = {https://www.merl.com/publications/TR2021-134}
      • }
    •  Chen, D., Danielson, C., Di Cairano, S., "A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles", IFAC Modeling, Estimation and Control Conference (MECC), October 2021.
      BibTeX TR2021-133 PDF
      • @inproceedings{Chen2021oct,
      • author = {Chen, Di and Danielson, Claus and Di Cairano, Stefano},
      • title = {A Predictive Controller for Drivability and Comfort in Multi-Motor Electric Vehicles},
      • booktitle = {IFAC Modeling, Estimation and Control Conference (MECC)},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-133}
      • }
    •  Medin, S., Egger, B., Cherian, A., Wang, Y., Tenanbaum, J., Liu, X., Marks, T.K., "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation", arXiv, October 2021.
      BibTeX
      • @article{Medin2021oct,
      • author = {Medin, Safa and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenanbaum, Joshua and Liu, Xiaoming and Marks, Tim K.},
      • title = {MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation},
      • journal = {arXiv},
      • year = 2021,
      • month = oct
      • }
    •  Menner, M., Di Cairano, S., "Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, October 2021.
      BibTeX TR2021-132 PDF
      • @inproceedings{Menner2021oct,
      • author = {Menner, Marcel and Di Cairano, Stefano},
      • title = {Kernel Regression for Energy-Optimal Control of Fully Electric Vehicles},
      • booktitle = {IEEE Vehicle Power and Propulsion Conference},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-132}
      • }
    •  Romero, D., Lohit, S., "Learning equivariances and partial equivariances from data", arXiv, October 2021.
      BibTeX arXiv
      • @article{Romero2021oct,
      • author = {Romero, David and Lohit, Suhas},
      • title = {Learning equivariances and partial equivariances from data},
      • journal = {arXiv},
      • year = 2021,
      • month = oct,
      • url = {https://arxiv.org/abs/2110.10211}
      • }
    •  Li, X., Kojima, K., Brand, M.E., "Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics", IEEE Photonics Conference (IPC), DOI: 10.1109/​IPC48725.2021.9593086, October 2021, pp. 1-2.
      BibTeX TR2021-140 PDF
      • @inproceedings{Li2021oct,
      • author = {Li, Xinhao and Kojima, Keisuke and Brand, Matthew E.},
      • title = {Predicting Long- and Variable-Distance Coupling Effects in Metasurface Optics},
      • booktitle = {IEEE Photonics Conference (IPC)},
      • year = 2021,
      • pages = {1--2},
      • month = oct,
      • doi = {10.1109/IPC48725.2021.9593086},
      • url = {https://www.merl.com/publications/TR2021-140}
      • }
    •  Shah, A.P., Geng, S., Gao, P., Cherian, A., Hori, T., Marks, T.K., Le Roux, J., Hori, C., "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning", arXiv, October 2021.
      BibTeX arXiv
      • @inproceedings{Shah2021oct,
      • author = {Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Marks, Tim K. and Le Roux, Jonathan and Hori, Chiori},
      • title = {Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning},
      • booktitle = {arXiv},
      • year = 2021,
      • month = oct,
      • url = {https://arxiv.org/abs/2110.06894}
      • }
    •  Petermann, D., Wichern, G., Wang, Z.-Q., Le Roux, J., "The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks", arXiv, October 2021.
      BibTeX arXiv
      • @article{Petermann2021oct,
      • author = {Petermann, Darius and Wichern, Gordon and Wang, Zhong-Qiu and Le Roux, Jonathan},
      • title = {The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks},
      • journal = {arXiv},
      • year = 2021,
      • month = oct,
      • url = {https://arxiv.org/abs/2110.09958}
      • }
    •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Reverberant Speech Separation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632667, October 2021, pp. 56-60.
      BibTeX TR2021-127 PDF
      • @inproceedings{Wang2021oct4,
      • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Convolutive Prediction for Reverberant Speech Separation},
      • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
      • year = 2021,
      • pages = {56--60},
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/WASPAA52581.2021.9632667},
      • url = {https://www.merl.com/publications/TR2021-127}
      • }
    •  Rakin, A.S., Wang, Y., Aeron, S., Koike-Akino, T., Moulin, P., Parsons, K., "Towards Universal Adversarial Examples and Defenses", IEEE Information Theory Workshop, DOI: 10.1109/​ITW48936.2021.9611439, October 2021.
      BibTeX TR2021-125 PDF Video
      • @inproceedings{Rakin2021oct,
      • author = {Rakin, Adnan S and Wang, Ye and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Parsons, Kieran},
      • title = {Towards Universal Adversarial Examples and Defenses},
      • booktitle = {IEEE Information Theory Workshop},
      • year = 2021,
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/ITW48936.2021.9611439},
      • isbn = {978-1-6654-0312-2},
      • url = {https://www.merl.com/publications/TR2021-125}
      • }
    •  Wichern, G., Chakrabarty, A., Wang, Z.-Q., Le Roux, J., "Anomalous sound detection using attentive neural processes", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632762, October 2021, pp. 186-190.
      BibTeX TR2021-129 PDF
      • @inproceedings{Wichern2021oct,
      • author = {Wichern, Gordon and Chakrabarty, Ankush and Wang, Zhong-Qiu and Le Roux, Jonathan},
      • title = {Anomalous sound detection using attentive neural processes},
      • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
      • year = 2021,
      • pages = {186--190},
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/WASPAA52581.2021.9632762},
      • url = {https://www.merl.com/publications/TR2021-129}
      • }
    •  Wang, B., Zhou, L., Wang, H., Lin, C., "Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE47101.2021.9595230, October 2021, pp. 4480-4485.
      BibTeX TR2021-124 PDF
      • @inproceedings{Wang2021oct3,
      • author = {Wang, Bingnan and Zhou, Lei and Wang, Hongyu and Lin, Chungwei},
      • title = {Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor},
      • booktitle = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2021,
      • pages = {4480--4485},
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/ECCE47101.2021.9595230},
      • url = {https://www.merl.com/publications/TR2021-124}
      • }
    •  Wang, B., Shin, K.-H., Hidaka, Y., Kondo, S., Arita, H., Ito, K., "Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE47101.2021.9595341, October 2021, pp. 4142-4148.
      BibTeX TR2021-123 PDF
      • @inproceedings{Wang2021oct2,
      • author = {Wang, Bingnan and Shin, Kyung-Hun and Hidaka, Yuki and Kondo, Shota and Arita, Hideaki and Ito, Kazumasa},
      • title = {Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors},
      • booktitle = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2021,
      • pages = {4142--4148},
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/ECCE47101.2021.9595341},
      • url = {https://www.merl.com/publications/TR2021-123}
      • }
    •  Chatterjee, M., Le Roux, J., Ahuja, N., Cherian, A., "Visual Scene Graphs for Audio Source Separation", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 1204-1213.
      BibTeX TR2021-095 PDF Video Software
      • @inproceedings{Chatterjee2021oct,
      • author = {Chatterjee, Moitreya and Le Roux, Jonathan and Ahuja, Narendra and Cherian, Anoop},
      • title = {Visual Scene Graphs for Audio Source Separation},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      • year = 2021,
      • pages = {1204--1213},
      • month = oct,
      • publisher = {CVF},
      • url = {https://www.merl.com/publications/TR2021-095}
      • }
    •  Chatterjee, M., Ahuja, N., Cherian, A., "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction", IEEE International Conference on Computer Vision (ICCV), October 2021, pp. 9751-9761.
      BibTeX TR2021-096 PDF
      • @inproceedings{Chatterjee2021oct2,
      • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
      • title = {A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      • year = 2021,
      • pages = {9751--9761},
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-096}
      • }
    •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement", arXiv, October 2021.
      BibTeX arXiv
      • @article{Wang2021oct,
      • author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement},
      • journal = {arXiv},
      • year = 2021,
      • month = oct,
      • url = {https://arxiv.org/abs/2110.00570}
      • }
    •  Li, S., Qiao, H., "Development of a fast fluid dynamics model based on PISO algorithm for simulating indoor airflow", ASME - Summer Heat Transfer Conference, September 2021.
      BibTeX TR2021-120 PDF
      • @inproceedings{Li2021sep,
      • author = {Li, Sibo and Qiao, Hongtao},
      • title = {Development of a fast fluid dynamics model based on PISO algorithm for simulating indoor airflow},
      • booktitle = {ASME - Summer Heat Transfer Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-120}
      • }
    •  Matsumine, T., Koike-Akino, T., Ochiai, H., "A Low-Complexity Probabilistic Amplitude Shaping with Short Linear Block Codes", IEEE Transactions on Communications, DOI: 10.1109/​TCOMM.2021.3111032, Vol. 69, No. 12, pp. 7923-7933, September 2021.
      BibTeX TR2021-117 PDF
      • @article{Matsumine2021sep,
      • author = {Matsumine, Toshiki and Koike-Akino, Toshiaki and Ochiai, Hideki},
      • title = {A Low-Complexity Probabilistic Amplitude Shaping with Short Linear Block Codes},
      • journal = {IEEE Transactions on Communications},
      • year = 2021,
      • volume = 69,
      • number = 12,
      • pages = {7923--7933},
      • month = sep,
      • doi = {10.1109/TCOMM.2021.3111032},
      • issn = {1558-0857},
      • url = {https://www.merl.com/publications/TR2021-117}
      • }
    •  Leonard, E., Qiao, H., Nabi, S., "A Comparison of Interpolation Methods in Fast Fluid Dynamics", International High Performance Buildings Conference, September 2021.
      BibTeX TR2021-118 PDF
      • @inproceedings{Leonard2021sep,
      • author = {Leonard, Eric and Qiao, Hongtao and Nabi, Saleh},
      • title = {A Comparison of Interpolation Methods in Fast Fluid Dynamics},
      • booktitle = {International High Performance Buildings Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-118}
      • }
    •  Kannapiran, S., van Baar, J., Berman, S., "A Visual Inertial Odometry Framework for 3D Points, Lines and Planes", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), DOI: 10.1109/​IROS51168.2021.9636526, September 2021.
      BibTeX TR2021-131 PDF
      • @inproceedings{Kannapiran2021sep,
      • author = {Kannapiran, Shenbagaraj and van Baar, Jeroen and Berman, Spring},
      • title = {A Visual Inertial Odometry Framework for 3D Points, Lines and Planes},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2021,
      • month = sep,
      • doi = {10.1109/IROS51168.2021.9636526},
      • url = {https://www.merl.com/publications/TR2021-131}
      • }
    •  Rackauckas, C., Anantharaman, R., Edelman, A., Gowda, S., Gwozdz, M., Jain, A., Laughman, C.R., Ma, Y., Martinuzzi, F., Pal, A., Rajput, U., Saba, E., Shah, V., "Composing Modeling and Simulation with Machine Learning in Julia", 14th International Modelica Conference, September 2021.
      BibTeX TR2021-114 PDF
      • @inproceedings{Rackauckas2021sep,
      • author = {Rackauckas, Chris and Anantharaman, Ranjan and Edelman, Alan and Gowda, Shashi and Gwozdz, Maja and Jain, Anand and Laughman, Christopher R. and Ma, Yingbo and Martinuzzi, Francesco and Pal, Avik and Rajput, Utkarsh and Saba, Elliot and Shah, Viral},
      • title = {Composing Modeling and Simulation with Machine Learning in Julia},
      • booktitle = {14th International Modelica Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-114}
      • }
    •  Comas, A., Marks, T.K., Mansour, H., Lohit, S., Ma, Y., Liu, X., "TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG", IEEE International Conference on Image Processing (ICIP), September 2021.
      BibTeX TR2021-099 PDF
      • @inproceedings{Comas2021sep,
      • author = {Comas, Armand and Marks, Tim K. and Mansour, Hassan and Lohit, Suhas and Ma, Yechi and Liu, Xiaoming},
      • title = {TURNIP: Time-series U-NET with Recurrence for NIR Imaging PPG},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-099}
      • }
    •  Shi, L., Liu, D., Thornton, J.E., "Robust Camera Pose Estimation for Image Stitching", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP42928.2021.9506680, September 2021.
      BibTeX TR2021-113 PDF
      • @inproceedings{Shi2021sep,
      • author = {Shi, Laixi and Liu, Dehong and Thornton, Jay E.},
      • title = {Robust Camera Pose Estimation for Image Stitching},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2021,
      • month = sep,
      • publisher = {IEEE},
      • doi = {10.1109/ICIP42928.2021.9506680},
      • isbn = {978-1-6654-4115-5},
      • url = {https://www.merl.com/publications/TR2021-113}
      • }
    •  Skvortcov, P., Millar, D.S., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., "Experimental Analysis of Mismatched Soft-Demapping for Probabilistic Shaping in Short-Reach Nonlinear Transmission", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC52684.2021.9605820, September 2021.
      BibTeX TR2021-109 PDF
      • @inproceedings{Skvortcov2021sep,
      • author = {Skvortcov, Pavel and Millar, David S. and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran},
      • title = {Experimental Analysis of Mismatched Soft-Demapping for Probabilistic Shaping in Short-Reach Nonlinear Transmission},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • publisher = {IEEE},
      • doi = {10.1109/ECOC52684.2021.9605820},
      • isbn = {978-1-6654-3868-1},
      • url = {https://www.merl.com/publications/TR2021-109}
      • }
    •  Koike-Akino, T., Wang, Y., Kojima, K., Parsons, K., Yoshida, T., "Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC52684.2021.9605870, September 2021.
      BibTeX TR2021-110 PDF Presentation
      • @inproceedings{Koike-Akino2021sep,
      • author = {Koike-Akino, Toshiaki and Wang, Ye and Kojima, Keisuke and Parsons, Kieran and Yoshida, Tsuyoshi},
      • title = {Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • publisher = {IEEE},
      • doi = {10.1109/ECOC52684.2021.9605870},
      • isbn = {978-1-6654-3868-1},
      • url = {https://www.merl.com/publications/TR2021-110}
      • }
    •  Skvortcov, P., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shaping", European Conference on Optical Communication (ECOC), DOI: 10.1109/​ECOC52684.2021.9605842, September 2021.
      BibTeX TR2021-111 PDF Presentation
      • @inproceedings{Skvortcov2021sep2,
      • author = {Skvortcov, Pavel and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shaping},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2021,
      • month = sep,
      • publisher = {IEEE},
      • doi = {10.1109/ECOC52684.2021.9605842},
      • isbn = {978-1-6654-3868-1},
      • url = {https://www.merl.com/publications/TR2021-111}
      • }
    •  Amadio, F., Dalla Libera, A., Carli, R., Romeres, D., "Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation", Automatica.it, September 2021.
      BibTeX TR2021-108 PDF
      • @inproceedings{Amadio2021sep,
      • author = {Amadio, Fabio and Dalla Libera, Alberto and Carli, Ruggero and Romeres, Diego},
      • title = {Model-Based Reinforcement Learning Using Monte Carlo Gradient Estimation},
      • booktitle = {Automatica.it},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-108}
      • }
    •  Haruna, M., Ogino, M., Koike-Akino, T., "Human x Machine Remote Fusion System: Visual Haptics Implementation," Tech. Rep., The Robotics Society of Japan (RSJ), September 2021.
      BibTeX
      • @techreport{Haruna2021sep,
      • author = {Haruna, Masaki and Ogino, Masaki and Koike-Akino, Toshiaki},
      • title = {Human x Machine Remote Fusion System: Visual Haptics Implementation},
      • institution = {The Robotics Society of Japan (RSJ)},
      • year = 2021,
      • month = sep
      • }
    •  Liu, B., Guo, J., Koike-Akino, T., Wang, Y., Kim, K.J., Parsons, K., Orlik, P.V., Hashimoto, S., Yuan, J., "Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder", IEEE International conference on emerging technologies and factory automation, September 2021.
      BibTeX TR2021-107 PDF
      • @inproceedings{Liu2021sep,
      • author = {Liu, Bryan and Guo, Jianlin and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Hashimoto, Shigeru and Yuan, Jinhong},
      • title = {Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder},
      • booktitle = {IEEE International conference on emerging technologies and factory automation},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-107}
      • }
    •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization", 2021 Building Simulation Conference, September 2021.
      BibTeX TR2021-105 PDF Video
      • @inproceedings{Chakrabarty2021sep,
      • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
      • title = {Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization},
      • booktitle = {2021 Building Simulation Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-105}
      • }
    •  Tanaka, R., Nabi, S., Nonaka, M., "Airflow Optimization for Room Air Conditioners", Building Simulation 2021 Conference, September 2021.
      BibTeX TR2021-106 PDF
      • @inproceedings{Tanaka2021sep,
      • author = {Tanaka, Ryuta and Nabi, Saleh and Nonaka, Mio},
      • title = {Airflow Optimization for Room Air Conditioners},
      • booktitle = {Building Simulation 2021 Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-106}
      • }
    •  Koike-Akino, T., Wang, Y., "Evolution of Polar Coding", IEEE International Symposium on Topics in Coding (ISTC), August 2021.
      BibTeX TR2021-104 PDF
      • @inproceedings{Koike-Akino2021aug,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Evolution of Polar Coding},
      • booktitle = {IEEE International Symposium on Topics in Coding (ISTC)},
      • year = 2021,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2021-104}
      • }
    •  Jain, S., Corcodel, R., van Baar, J., "Visual 3D Perception for Interactive Robotic Tactile Data Acquisition", IEEE International Conference on Automation Science and Engineering (CASE 2021), August 2021.
      BibTeX TR2021-092 PDF
      • @inproceedings{Jain2021aug,
      • author = {Jain, Siddarth and Corcodel, Radu and van Baar, Jeroen},
      • title = {Visual 3D Perception for Interactive Robotic Tactile Data Acquisition},
      • booktitle = {2021 IEEE International Conference on Automation Science and Engineering (CASE)},
      • year = 2021,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2021-092}
      • }
    •  Ravikumar, S., Quirynen, R., Bhagat, A., Zeino, E., Di Cairano, S., "Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9658675, August 2021, pp. 814-819.
      BibTeX TR2021-089 PDF
      • @inproceedings{Ravikumar2021aug,
      • author = {Ravikumar, Shreejith and Quirynen, Rien and Bhagat, Akshay and Zeino, Eyad and Di Cairano, Stefano},
      • title = {Mixed-integer Programming for Centralized Coordination of Connected and Automated Vehicles in Dynamic Environment},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2021,
      • pages = {814--819},
      • month = aug,
      • doi = {10.1109/CCTA48906.2021.9658675},
      • url = {https://www.merl.com/publications/TR2021-089}
      • }
    •  Solomon, E., Yerazunis, W.S., "Robotic Applications of Mechanical Metamaterials Produced Using SLA 3D Printing: Cthulhu-Morphic Grippers", Solid Freeform Fabrication Symposium, August 2021.
      BibTeX TR2021-088 PDF
      • @inproceedings{Solomon2021aug,
      • author = {Solomon, E. and Yerazunis, William S.},
      • title = {Robotic Applications of Mechanical Metamaterials Produced Using SLA 3D Printing: Cthulhu-Morphic Grippers},
      • booktitle = {Solid Freeform Fabrication Symposium},
      • year = 2021,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2021-088}
      • }
    •  Greiff, M., Berntorp, K., Di Cairano, S., Kim, K.J., "Mixed-Integer Linear Regression Kalman Filters for GNSS Positioning", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9659142, August 2021.
      BibTeX TR2021-090 PDF
      • @inproceedings{Greiff2021aug,
      • author = {Greiff, Marcus and Berntorp, Karl and Di Cairano, Stefano and Kim, Kyeong Jin},
      • title = {Mixed-Integer Linear Regression Kalman Filters for GNSS Positioning},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2021,
      • month = aug,
      • doi = {10.1109/CCTA48906.2021.9659142},
      • url = {https://www.merl.com/publications/TR2021-090}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "A Kalman Filter for Online Calibration of Optimal Controllers", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA48906.2021.9658684, August 2021, pp. 441-446.
      BibTeX TR2021-091 PDF
      • @inproceedings{Menner2021aug,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {A Kalman Filter for Online Calibration of Optimal Controllers},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2021,
      • pages = {441--446},
      • month = aug,
      • doi = {10.1109/CCTA48906.2021.9658684},
      • url = {https://www.merl.com/publications/TR2021-091}
      • }
    •  Rambhatla, S., Jones, M.J., Chellappa, R., "To Boost or not to Boost: On the Limits of Boosted Neural Networks", arXiv, July 2021.
      BibTeX arXiv
      • @article{Rambhatla2021jul,
      • author = {Rambhatla, Sai and Jones, Michael J. and Chellappa, Rama},
      • title = {To Boost or not to Boost: On the Limits of Boosted Neural Networks},
      • journal = {arXiv},
      • year = 2021,
      • month = jul,
      • url = {https://arxiv.org/abs/2107.13600}
      • }
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