Publications

179 / 3,807 publications found.


  •  Cherian, A., Peng, K.-C., Lohit, S., Smith, K., Tenenbaum, J.B., "Are Deep Neural Networks SMARTer than Second Graders?", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), March 2023, pp. 10834-10844.
    BibTeX TR2023-014 PDF Video Data Software Presentation
    • @inproceedings{Cherian2023mar,
    • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Smith, Kevin and Tenenbaum, Joshua B.},
    • title = {{Are Deep Neural Networks SMARTer than Second Graders?}},
    • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    • year = 2023,
    • pages = {10834--10844},
    • month = mar,
    • publisher = {CVF},
    • url = {https://www.merl.com/publications/TR2023-014}
    • }
  •  Kojima, K., Koike-Akino, T., Wang, Y., Jung Minwoo, , Brand, M., "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", SPIE Photonics West, DOI: 10.1117/​12.2650299, January 2023.
    BibTeX TR2023-004 PDF
    • @inproceedings{Kojima2023jan,
    • author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jung Minwoo and Brand, Matthew},
    • title = {{Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder}},
    • booktitle = {Proc. SPIE 12431, Photonic and Phononic Properties of Engineered Nanostructures XIII},
    • year = 2023,
    • month = jan,
    • publisher = {SPIE},
    • doi = {10.1117/12.2650299},
    • url = {https://www.merl.com/publications/TR2023-004}
    • }
  •  Bhattacharya, C., Chakrabarty, A., Laughman, C.R., Qiao, H., "https://iwww.merl.com/TR/camready-4505.pdf", Modeling, Estimation and Control Conference, DOI: 10.1016/​j.ifacol.2022.11.168, December 2022, pp. 99-106.
    BibTeX TR2022-170 PDF
    • @inproceedings{Bhattacharya2022dec,
    • author = {Bhattacharya, Chandrachur and Chakrabarty, Ankush and Laughman, Christopher R. and Qiao, Hongtao},
    • title = {{https://iwww.merl.com/TR/camready-4505.pdf}},
    • booktitle = {Modeling, Estimation and Control Conference},
    • year = 2022,
    • pages = {99--106},
    • month = dec,
    • doi = {10.1016/j.ifacol.2022.11.168},
    • url = {https://www.merl.com/publications/TR2022-170}
    • }
  •  Talukder, K., Wang, B., Sakamoto, Y., "Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.1109/​ICEMS56177.2022.9982881, December 2022, pp. 1-4.
    BibTeX TR2022-152 PDF
    • @inproceedings{Talukder2022dec,
    • author = {Talukder, Khaled and Wang, Bingnan and Sakamoto, Yusuke},
    • title = {{Electric Machine Two-dimensional Flux Map Prediction with Ensemble Learning}},
    • booktitle = {International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2022,
    • pages = {1--4},
    • month = dec,
    • doi = {10.1109/ICEMS56177.2022.9982881},
    • url = {https://www.merl.com/publications/TR2022-152}
    • }
  •  Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2022.3224285, Vol. 31, pp. 397-410, December 2022.
    BibTeX TR2022-166 PDF
    • @article{Wang2022dec2,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and Watanabe, Shinji and {Le Roux}, Jonathan},
    • title = {{STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency}},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2022,
    • volume = 31,
    • pages = {397--410},
    • month = dec,
    • doi = {10.1109/TASLP.2022.3224285},
    • issn = {2329-9304},
    • url = {https://www.merl.com/publications/TR2022-166}
    • }
  •  Chakrabarty, A., "Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992404, December 2022.
    BibTeX TR2022-160 PDF
    • @inproceedings{Chakrabarty2022dec,
    • author = {Chakrabarty, Ankush},
    • title = {{Few-Shot Closed-Loop Performance Optimization with Bayesian Meta-Learning}},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • doi = {10.1109/CDC51059.2022.9992404},
    • url = {https://www.merl.com/publications/TR2022-160}
    • }
  •  Singla, V., Aeron, S., Koike-Akino, T., Parsons, K., Brand, M., Wang, Y., "Learning with noisy labels using low-dimensional model trajectory", NeurIPS 2022 Workshop on Distribution Shifts (DistShift), December 2022.
    BibTeX TR2022-156 PDF
    • @inproceedings{Singla2022dec,
    • author = {Singla, Vasu and Aeron, Shuchin and Koike-Akino, Toshiaki and Parsons, Kieran and Brand, Matthew and Wang, Ye},
    • title = {{Learning with noisy labels using low-dimensional model trajectory}},
    • booktitle = {NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications},
    • year = 2022,
    • month = dec,
    • publisher = {OpenReview},
    • url = {https://www.merl.com/publications/TR2022-156}
    • }
  •  Tu, H., Moura, S., Wang, Y., Fang, H., "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries", Applied Energy, DOI: 10.1016/​j.apenergy.2022.120289, Vol. 329, December 2022.
    BibTeX TR2022-155 PDF
    • @article{Tu2022dec,
    • author = {Tu, Hao and Moura, Scott and Wang, Yebin and Fang, Huazhen},
    • title = {{Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries}},
    • journal = {Applied Energy},
    • year = 2022,
    • volume = 329,
    • month = dec,
    • doi = {10.1016/j.apenergy.2022.120289},
    • url = {https://www.merl.com/publications/TR2022-155}
    • }
  •  Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), DOI: 10.1109/​AVSS56176.2022.9959354, November 2022, pp. 1-8.
    BibTeX TR2022-149 PDF
    • @inproceedings{Shimoya2022nov,
    • author = {Shimoya, Ryosuke and Morimoto, Tahashi and {van Baar}, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
    • title = {{Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images}},
    • booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
    • year = 2022,
    • pages = {1--8},
    • month = nov,
    • doi = {10.1109/AVSS56176.2022.9959354},
    • isbn = {978-1-6654-6382-9},
    • url = {https://www.merl.com/publications/TR2022-149}
    • }
  •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/​978-3-031-19830-4_7, October 2022, pp. 111-127.
    BibTeX TR2022-135 PDF Video Software Presentation
    • @inproceedings{Ahmed2022oct,
    • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K.},
    • title = {{Cross-Modal Knowledge Transfer Without Task-Relevant Source Data}},
    • booktitle = {European Conference on Computer Vision (ECCV)},
    • year = 2022,
    • editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
    • pages = {111--127},
    • month = oct,
    • publisher = {Springer},
    • doi = {10.1007/978-3-031-19830-4_7},
    • isbn = {978-3-031-19830-4},
    • url = {https://www.merl.com/publications/TR2022-135}
    • }
  •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP46576.2022.9897332, October 2022, pp. 2511-2515.
    BibTeX TR2022-129 PDF Video
    • @inproceedings{Mansour2022oct,
    • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
    • title = {{Distributed Radar Autofocus Imaging Using Deep Priors}},
    • booktitle = {IEEE International Conference on Image Processing (ICIP)},
    • year = 2022,
    • pages = {2511--2515},
    • month = oct,
    • doi = {10.1109/ICIP46576.2022.9897332},
    • url = {https://www.merl.com/publications/TR2022-129}
    • }
  •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), DOI: 10.1109/​BHI56158.2022.9926814, September 2022.
    BibTeX TR2022-121 PDF Video Presentation
    • @inproceedings{Koike-Akino2022sep,
    • author = {Koike-Akino, Toshiaki and Wang, Ye},
    • title = {{quEEGNet: Quantum AI for Biosignal Processing}},
    • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
    • year = 2022,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/BHI56158.2022.9926814},
    • issn = {2641-3604},
    • isbn = {978-1-6654-8791-7},
    • url = {https://www.merl.com/publications/TR2022-121}
    • }
  •  Suda, T., Nikovski, D., "Deep Reinforcement Learning for Optimal Sailing Upwind", IEEE International Joint Conference on Neural Networks IJCNN, DOI: 10.1109/​IJCNN55064.2022.9892369, September 2022, pp. 1-8.
    BibTeX TR2022-102 PDF
    • @inproceedings{Suda2022sep,
    • author = {{{Suda, Takumi and Nikovski, Daniel}}},
    • title = {{{Deep Reinforcement Learning for Optimal Sailing Upwind}}},
    • booktitle = {IEEE International Joint Conference on Neural Networks IJCNN},
    • year = 2022,
    • pages = {1--8},
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/IJCNN55064.2022.9892369},
    • issn = {2161-4393},
    • isbn = {978-1-7281-8671-9},
    • url = {https://www.merl.com/publications/TR2022-102}
    • }
  •  Wang, B., Talukder, K., Sakamoto, Y., "Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors", IEEE International Conference on Electrical Machines (ICEM), DOI: 10.1109/​ICEM51905.2022.9910734, September 2022, pp. 1015-1021.
    BibTeX TR2022-113 PDF
    • @inproceedings{Wang2022sep,
    • author = {Wang, Bingnan and Talukder, Khaled and Sakamoto, Yusuke},
    • title = {{Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors}},
    • booktitle = {IEEE International Conference on Electrical Machines (ICEM)},
    • year = 2022,
    • pages = {1015--1021},
    • month = sep,
    • doi = {10.1109/ICEM51905.2022.9910734},
    • url = {https://www.merl.com/publications/TR2022-113}
    • }
  •  Kojima, K., Jung, M., Koike-Akino, T., Wang, Y., Brand, M., Parsons, K., "Deep Transfer Learning for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO) Pacific Rim, July 2022.
    BibTeX TR2022-107 PDF
    • @inproceedings{Kojima2022jul,
    • author = {Kojima, Keisuke and Jung, Minwoo and Koike-Akino, Toshiaki and Wang, Ye and Brand, Matthew and Parsons, Kieran},
    • title = {{Deep Transfer Learning for Nanophotonic Device Design}},
    • booktitle = {Proceedings of the 2022 Conference on Lasers and Electro-Optics Pacific Rim},
    • year = 2022,
    • month = jul,
    • publisher = {Optica Publishing Group},
    • url = {https://www.merl.com/publications/TR2022-107}
    • }
  •  Nasrin, S., Shylendra, A., Darabi, N., Tulabandhula, T., Gomes, W., Chakrabarty, A., Trivedi, A., "ENOS: Energy-aware Network Operator Search in Deep Neural Networks", IEEE Access, DOI: 10.1109/​ACCESS.2022.3192515, July 2022.
    BibTeX IEEE Access
    • @article{Nasrin2022jul,
    • author = {Nasrin, Shamma and Shylendra, Ahish and Darabi, Nastaran and Tulabandhula, Theja and Gomes, Wilfred and Chakrabarty, Ankush and Trivedi, Amit},
    • title = {{ENOS: Energy-aware Network Operator Search in Deep Neural Networks}},
    • journal = {IEEE Access},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/ACCESS.2022.3192515},
    • url = {https://ieeexplore.ieee.org/document/9833492}
    • }
  •  Rambhatla, S., Jones, M.J., Chellappa, R., "An Empirical Analysis of Boosting Deep Networks", International Joint Conference on Neural Networks (IJCNN), DOI: 10.1109/​IJCNN55064.2022.9892204, July 2022.
    BibTeX TR2022-075 PDF Presentation
    • @inproceedings{Rambhatla2022jul,
    • author = {Rambhatla, Sai and Jones, Michael J. and Chellappa, Rama},
    • title = {{An Empirical Analysis of Boosting Deep Networks}},
    • booktitle = {International Joint Conference on Neural Networks (IJCNN)},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/IJCNN55064.2022.9892204},
    • url = {https://www.merl.com/publications/TR2022-075}
    • }
  •  Shirsat, A., Sun, H., Kim, K.J., Guo, J., Nikovski, D.N., "ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements", IEEE PES General Meeting, DOI: 10.1109/​PESGM48719.2022.9916802, July 2022.
    BibTeX TR2022-101 PDF
    • @inproceedings{Shirsat2022jul,
    • author = {Shirsat, Ashwin and Sun, Hongbo and Kim, Kyeong Jin and Guo, Jianlin and Nikovski, Daniel N.},
    • title = {{ConvEDNet: A Convolutional Energy Disaggregation Network Using Continuous Point-On-Wave Measurements}},
    • booktitle = {2022 IEEE Power \& Energy Society General Meeting (PESGM)},
    • year = 2022,
    • month = jul,
    • doi = {10.1109/PESGM48719.2022.9916802},
    • url = {https://www.merl.com/publications/TR2022-101}
    • }
  •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871984, July 2022.
    BibTeX TR2022-097 PDF
    • @inproceedings{Demir2022jul,
    • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
    • title = {{EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals}},
    • booktitle = {International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBS)},
    • year = 2022,
    • month = jul,
    • publisher = {IEEE},
    • doi = {10.1109/EMBC48229.2022.9871984},
    • issn = {2694-0604},
    • isbn = {978-1-7281-2782-8},
    • url = {https://www.merl.com/publications/TR2022-097}
    • }
  •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.
    BibTeX TR2022-096 PDF
    • @inproceedings{Cao2022jul,
    • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
    • title = {{Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization}},
    • booktitle = {ACM/IEEE Design Automation Conference},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-096}
    • }
  •  Kodama, T., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node", Optics Express, DOI: 10.1364/​OE.449812, Vol. 30, No. 7, pp. 10866-10876, June 2022.
    BibTeX TR2022-091 PDF
    • @article{Kodama2022jun,
    • author = {Kodama, Takahiro and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
    • title = {{DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node}},
    • journal = {Optics Express},
    • year = 2022,
    • volume = 30,
    • number = 7,
    • pages = {10866--10876},
    • month = jun,
    • doi = {10.1364/OE.449812},
    • url = {https://www.merl.com/publications/TR2022-091}
    • }
  •  Elango, P., Di Cairano, S., Kalabic, U., Weiss, A., "Local Eigenmotion Control for Near Rectilinear Halo Orbits", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867672, June 2022, pp. 1822-1827.
    BibTeX TR2022-060 PDF
    • @inproceedings{Elango2022jun,
    • author = {Elango, Purnanand and {Di Cairano}, Stefano and Kalabic, Uros and Weiss, Avishai},
    • title = {{Local Eigenmotion Control for Near Rectilinear Halo Orbits}},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {1822--1827},
    • month = jun,
    • doi = {10.23919/ACC53348.2022.9867672},
    • issn = {2378-5861},
    • isbn = {978-1-6654-5196-3},
    • url = {https://www.merl.com/publications/TR2022-060}
    • }
  •  Koike-Akino, T., Wang, P., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9839011, May 2022.
    BibTeX TR2022-044 PDF Video Presentation
    • @inproceedings{Koike-Akino2022may2,
    • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
    • title = {{Quantum Transfer Learning for Wi-Fi Sensing}},
    • booktitle = {IEEE International Conference on Communications (ICC)},
    • year = 2022,
    • month = may,
    • doi = {10.1109/ICC45855.2022.9839011},
    • issn = {1938-1883},
    • isbn = {978-1-5386-8347-7},
    • url = {https://www.merl.com/publications/TR2022-044}
    • }
  •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2022.SW5E.6, May 2022.
    BibTeX TR2022-047 PDF Video Presentation
    • @inproceedings{Jung2022may,
    • author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew},
    • title = {{Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices}},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_SI.2022.SW5E.6},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-047}
    • }
  •  Koike-Akino, T., Kojima, K., Wang, Y., "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_AT.2022.JW3A.44, May 2022.
    BibTeX TR2022-046 PDF Presentation
    • @inproceedings{Koike-Akino2022may3,
    • author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
    • title = {{AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design}},
    • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
    • year = 2022,
    • month = may,
    • publisher = {Optica},
    • doi = {10.1364/CLEO_AT.2022.JW3A.44},
    • isbn = {978-1-957171-05-0},
    • url = {https://www.merl.com/publications/TR2022-046}
    • }