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/

Research Areas:

Artificial Intelligence, Computer Vision, Machine Learning, Signal Processing

• Related Publications

   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), Zhang, T. and Dudik, M. and Jaggi, M. and Agarwal, A. and Li, S. and Schuurmans, D. and Zhu, J. and Berkenkamp, F. and Dong, H. and Bietti, A., Eds., July 2026, vol. 306, pp. 44412-44432.

  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,
  • editor = {Zhang, T. and Dudik, M. and Jaggi, M. and Agarwal, A. and Li, S. and Schuurmans, D. and Zhu, J. and Berkenkamp, F. and Dong, H. and Bietti, A.},
  • volume = 306,
  • pages = {44412--44432},
  • month = jul,
  • publisher = {Proceedings of Machine Learning Research (PMLR)},
  • 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), Zhang, T. and Dudik, M. and Jaggi, M. and Agarwal, A. and Li, S. and Schuurmans, D. and Zhu, J. and Berkenkamp, F. and Dong, H. and Bietti, A., Eds., July 2026, vol. 306, pp. 106818-106844.

  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,
  • editor = {Zhang, T. and Dudik, M. and Jaggi, M. and Agarwal, A. and Li, S. and Schuurmans, D. and Zhu, J. and Berkenkamp, F. and Dong, H. and Bietti, A.},
  • volume = 306,
  • pages = {106818--106844},
  • month = jul,
  • publisher = {Proceedings of Machine Learning Research (PMLR)},
  • 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 Software

  • @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}
  • }