Yamins, Daniel LK

9 publications

ICLR 2025 Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models Logan Cross, Violet Xiang, Agam Bhatia, Daniel LK Yamins, Nick Haber
NeurIPS 2025 Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals Stefan Stojanov, David Wendt, Seungwoo Kim, Rahul Mysore Venkatesh, Kevin Feigelis, Klemen Kotar, Khai Loong Aw, Jiajun Wu, Daniel LK Yamins
NeurIPS 2025 Taming Generative Video Models for Zero-Shot Optical Flow Extraction Seungwoo Kim, Khai Loong Aw, Klemen Kotar, Cristobal Eyzaguirre, Wanhee Lee, Yunong Liu, Jared Watrous, Stefan Stojanov, Juan Carlos Niebles, Jiajun Wu, Daniel LK Yamins
NeurIPSW 2024 Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models Logan Cross, Violet Xiang, Agam Bhatia, Daniel LK Yamins, Nick Haber
ICLRW 2024 Inter-Animal Transforms as a Guide to Model-Brain Comparison Imran Thobani, Javier Sagastuy-Brena, Aran Nayebi, Rosa Cao, Daniel LK Yamins
ICLRW 2024 Lessons Learned in the Study of Representational Alignment in Physical Reasoning Felix Jedidja Binder, Rahul Mysore Venkatesh, Daniel LK Yamins, Judith E Fan
TMLR 2024 Unsupervised 3D Scene Representation Learning via Movable Object Inference Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel LK Yamins
NeurIPSW 2022 Topographic DCNNs Trained on a Single Self-Supervised Task Capture the Functional Organization of Cortex into Visual Processing Streams Dawn Finzi, Eshed Margalit, Kendrick Kay, Daniel LK Yamins, Kalanit Grill-Spector
ICLR 2021 Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics Daniel Kunin, Javier Sagastuy-Brena, Surya Ganguli, Daniel LK Yamins, Hidenori Tanaka