NEWS    MERL Presents 4 Main Conference Papers and 6 Workshop Papers at ICML 2026

Date released: June 30, 2026

  •  NEWS    MERL Presents 4 Main Conference Papers and 6 Workshop Papers at ICML 2026
  • Date:

    July 6, 2026 - July 11, 2026

  • Where:

    COEX, Seoul, South Korea

  • Description:

    MERL researchers are proud to present 4 main conference papers and 6 workshop papers at ICML 2026. ICML, taking place from July 6-11 in Seoul, South Korea, is a premier international conference in machine learning.

    Main Conference Papers with MERL Authors:

    1. Understanding Dynamic Compute Allocation in Recurrent Transformers by Ibraheem Muhammad Moosa, Suhas Lohit, Ye Wang, Moitreya Chatterjee, and Wenpeng Yin.

    2. LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior by Qinhong Zhou, Chuang Gan, and Anoop Cherian.

    3. Memory-Distilled Selection for Noise-Robust Anomaly Detection by Sirojbek Safarov, Jaewoo Park, Yoon G. Jung, Kuan-Chuan Peng, Wonchul Kim, Seongdeok Bang, and Octavia Camps.

    4. Partial Ring Scan: Revisiting Scan Order in Vision State Space Models by Yi-Kuan Hsieh, Kuan-Chuan Peng, Xin Li, Ming-Ching Chang, Yu-Chee Tseng, and Jun-Wei Hsieh.

    Workshop Papers with MERL Authors:

    1. WISE: Weighted Iterative Society-of-Experts for Multimodal Multi-Agent Debate with Probabilistic Consensus by Anoop Cherian, Suhas Lohit, and Kuan-Chuan Peng. (Workshop on Scalable Learning and Optimization for Efficient Multimodal AI Agents (SCALE))

    2. MIRROR: Multisensory Implicit Rejection-sampled RObotic policy by Amisha Bhaskar, Pratap Tokekar, Stefano Di Cairano, and Alexander Schperberg. (Workshop on Structured Probabilistic Inference & Generative Modeling)

    3. Reinforced Neural Processes: Memory-Efficient Time-Series Forecasting with a World-Feedback-Trained Memory Policy by Nibraas Khan, Gordon Wichern, and Christopher R. Laughman. (Workshop on Reinforcement Learning from World Feedback (RLxF))

    4. Connecting Low-Rank Adapters and Policy Stability in GRPO Fine-Tuning by Antonin Rottman, Francesco Tonin, Yongtao Wu, Toshiaki Koike-Akino, and Volkan Cevher. (Workshop on Connecting Low-rank Representations in AI (CoLorAI))

    5. EinSort: Sorting is All We Need for Tensorizing LLM by Toshiaki Koike-Akino, Jing Liu, and Ye Wang. (Workshop on Connecting Low-rank Representations in AI (CoLorAI))

    6. Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment by Ye Wang, and Jing Liu, and Toshiaki Koike-Akino. (Workshop on Agents in the Wild: Safety, Security, and Beyond)

  • External Link:

    https://icml.cc/

  • MERL Contacts:
  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning, Signal Processing

    •  Bhaskar, A., Tokekar, P., Di Cairano, S., Schperberg, A., "MIRROR: Multisensory Implicit Rejection-sampled RObotic policy", ICML 2026 Workshop on Structured Probabilistic Inference & Generative Modeling, July 2026.
      BibTeX TR2026-096 PDF
      • @inproceedings{Bhaskar2026jul,
      • author = {Bhaskar, Amisha and Tokekar, Pratap and {Di Cairano}, Stefano and Schperberg, Alexander},
      • title = {{MIRROR: Multisensory Implicit Rejection-sampled RObotic policy}},
      • booktitle = {ICML 2026 Workshop on Structured Probabilistic Inference \& Generative Modeling},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-096}
      • }
    •  Khan, N., Wichern, G., Laughman, C.R., "Reinforced Neural Processes: Memory-Efficient Time-Series Forecasting with a World-Feedback-Trained Memory Policy", ICML Workshop on Reinforcement Learning from World Feedback (RLxF), July 2026.
      BibTeX TR2026-095 PDF
      • @inproceedings{Khan2026jul,
      • author = {Khan, Nibraas and Wichern, Gordon and Laughman, Christopher R.},
      • title = {{Reinforced Neural Processes: Memory-Efficient Time-Series Forecasting with a World-Feedback-Trained Memory Policy}},
      • booktitle = {ICML Workshop on Reinforcement Learning from World Feedback (RLxF)},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-095}
      • }
    •  Wang, Y., Liu, J., Koike-Akino, T., "Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment", International Conference on Machine Learning (ICML) Workshop on Agents in the Wild: Safety, Security, and Beyond, July 2026.
      BibTeX TR2026-094 PDF Presentation
      • @inproceedings{Wang2026jul,
      • author = {{Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
      • title = {{Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment}},
      • booktitle = {International Conference on Machine Learning (ICML) Workshop on Agents in the Wild: Safety, Security, and Beyond},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-094}
      • }
    •  Koike-Akino, T., Liu, J., Wang, Y., "EinSort: Sorting is All We Need for Tensorizing LLM", International Conference on Machine Learning (ICML) Workshop, July 2026.
      BibTeX TR2026-093 PDF Presentation
      • @inproceedings{Koike-Akino2026jul,
      • author = {{Koike-Akino, Toshiaki and Liu, Jing and Wang, Ye}},
      • title = {{EinSort: Sorting is All We Need for Tensorizing LLM}},
      • booktitle = {International Conference on Machine Learning (ICML) Workshop},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-093}
      • }
    •  Rottman, A., Tonin, F., Wu, Y., Koike-Akino, T., Cevher, V., "Connecting Low-Rank Adapters and Policy Stability in GRPO Fine-Tuning", International Conference on Machine Learning (ICML) Workshop, July 2026.
      BibTeX TR2026-092 PDF
      • @inproceedings{Rottman2026jul,
      • author = {Rottman, Antonin and Tonin, Francesco and Wu, Yongtao and Koike-Akino, Toshiaki and Cevher, Volkan},
      • title = {{Connecting Low-Rank Adapters and Policy Stability in GRPO Fine-Tuning}},
      • booktitle = {International Conference on Machine Learning (ICML) Workshop},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-092}
      • }
    •  Hsieh, Y.-K., Peng, K.-C., Li, X., Chang, M.-C., Tseng, Y.-C., Hsieh, J.-W., "Partial Ring Scan: Revisiting Scan Order in Vision State Space Models", International Conference on Machine Learning (ICML), July 2026.
      BibTeX TR2026-091 PDF
      • @inproceedings{Hsieh2026jul,
      • author = {Hsieh, Yi-Kuan and Peng, Kuan-Chuan and Li, Xin and Chang, Ming-Ching and Tseng, Yu-Chee and Hsieh, Jun-Wei},
      • title = {{Partial Ring Scan: Revisiting Scan Order in Vision State Space Models}},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-091}
      • }
    •  Moosa, I.M., Lohit, S., Wang, Y., Chatterjee, M., Yin, W., "Understanding Dynamic Compute Allocation in Recurrent Transformers", International Conference on Machine Learning (ICML), July 2026.
      BibTeX TR2026-090 PDF Software Presentation
      • @inproceedings{Moosa2026jul,
      • author = {{Moosa, Ibraheem Muhammad and Lohit, Suhas and Wang, Ye and Chatterjee, Moitreya and Yin, Wenpeng}},
      • title = {{Understanding Dynamic Compute Allocation in Recurrent Transformers}},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-090}
      • }
    •  Safarov, S., Park, J., Jung, Y.G., Peng, K.-C., Kim, W., Bang, S., Camps, O., "Memory-Distilled Selection for Noise-Robust Anomaly Detection", International Conference on Machine Learning (ICML), July 2026.
      BibTeX TR2026-089 PDF
      • @inproceedings{Safarov2026jul,
      • author = {{Safarov, Sirojbek and Park, Jaewoo and Jung, Yoon G. and Peng, Kuan-Chuan and Kim, Wonchul and Bang, Seongdeok and Camps, Octavia}},
      • title = {{Memory-Distilled Selection for Noise-Robust Anomaly Detection}},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-089}
      • }
    •  Cherian, A., Lohit, S., Peng, K.-C., "WISE: Weighted Iterative Society-of-Experts for Multimodal Multi-Agent Debate with Probabilistic Consensus", ICML SCALE AI Workshop, June 2026.
      BibTeX TR2026-083 PDF
      • @inproceedings{Cherian2026jun,
      • author = {Cherian, Anoop and Lohit, Suhas and Peng, Kuan-Chuan},
      • title = {{WISE: Weighted Iterative Society-of-Experts for Multimodal Multi-Agent Debate with Probabilistic Consensus}},
      • booktitle = {ICML SCALE AI Workshop},
      • year = 2026,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2026-083}
      • }
    •  Zhou, Q., Gan, C., Cherian, A., "LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior", International Conference on Machine Learning (ICML), June 2026.
      BibTeX TR2026-081 PDF Video
      • @inproceedings{Zhou2026jun,
      • author = {Zhou, Qinhong and Gan, Chuang and Cherian, Anoop},
      • title = {{LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior}},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2026,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2026-081}
      • }