161 citations · 364 across the 14 of their papers we have counts for
17 papers
Stable Deep Reinforcement Learning via Isotropic Gaussian Representations
Ali Saheb Pasand, Johan Obando-Ceron, Aaron Courville +2
Deep reinforcement learning systems often suffer from unstable training dynamics due to non-stationarity, where learning objectives and data distributions evolve over time. We show…
SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding
Zihan Weng, Chanlin Yi, Pouya Bashivan +6
Decoding fine-grained movement from non-invasive surface Electromyography (sEMG) is a challenge for prosthetic control due to signal non-stationarity and low signal-to-noise ratios…
Caption This, Reason That: VLMs Caught in the Middle
Zihan Weng, Lucas Gomez, Taylor Whittington Webb +1
Vision-Language Models (VLMs) have shown remarkable progress in visual understanding in recent years. Yet, they still lag behind human capabilities in specific visual tasks such as…
Building spatial world models from sparse transitional episodic memories
Zizhan He, Maxime Daigle, Pouya Bashivan
Many animals possess a remarkable capacity to rapidly construct flexible cognitive maps of their environments. These maps are crucial for ethologically relevant behaviors such as n…
Geometry of naturalistic object representations in recurrent neural network models of working memory
Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
Working memory is a central cognitive ability crucial for intelligent decision-making. Recent experimental and computational work studying working memory has primarily used categor…
IWISDM: Assessing instruction following in multimodal models at scale
Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai +1
The ability to perform complex tasks from detailed instructions is a key to many remarkable achievements of our species. As humans, we are not only capable of performing a wide var…