McClelland, James L.

11 publications

CVPR 2024 SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

NeurIPS 2022 Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie Chan, Adam Santoro, Andrew Lampinen, Jane Wang, Aaditya Singh, Pierre Richemond, James L. McClelland, Felix Hill

ICLR 2020 Environmental Drivers of Systematicity and Generalization in a Situated Agent Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, Adam Santoro

AAAI 2020 Generative Continual Concept Learning Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland

ICLR 2014 Exact Solutions to the Nonlinear Dynamics of Learning in Deep Linear Neural Networks Andrew M. Saxe, James L. McClelland, Surya Ganguli

NeurIPS 1999 Information Factorization in Connectionist Models of Perception Javier R. Movellan, James L. McClelland

NeurIPS 1997 A Hippocampal Model of Recognition Memory Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland

MLJ 1991 Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. McClelland

NeCo 1989 Finite State Automata and Simple Recurrent Networks Axel Cleeremans, David Servan-Schreiber, James L. McClelland

NeurIPS 1988 Learning Sequential Structure in Simple Recurrent Networks David Servan-Schreiber, Axel Cleeremans, James L. McClelland

NeurIPS 1987 Learning Representations by Recirculation Geoffrey E. Hinton, James L. McClelland