Four papers accepted by ICML 2026!
Four papers from our team were accepted by ICML 2026. These works cover diffusion planning, neuro-inspired phase encoding, continual learning, and neural coding strategies.
Reference
- Improving Diffusion Planners by Self-Supervised Action Gating with Energies
Yuan Lu, Dongqi Han, Yansen Wang, Dongsheng Li.
The Forty-third International Conference on Machine Learning (ICML). 2026 - Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li.
The Forty-third International Conference on Machine Learning (ICML). 2026 - Mitigating Plasticity Loss through Architectural Design in Continual Learning
Niklas Koeppe, Luiz Felipe Vecchietti, Dongqi Han, Dongsheng Li, Sang Wan Lee.
The Forty-third International Conference on Machine Learning (ICML). 2026 - Stabilized Supralinear Networks Learn to Switch Coding Strategies Balancing Cost and Performance
Haoyu Albert Wang, Wei P. Dai, Jialun Ma, Jiawei Zhang, Jinqi Liu, Mingchen Jiang, Mingqing Xiao, Yansen Wang, Dongqi Han, Dongsheng Li, Yuguo Yu.
The Forty-third International Conference on Machine Learning (ICML). 2026