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Oral
Mon 1:40 Neural Networks and the Chomsky Hierarchy
Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega
Poster
Mon 2:30 Neural Networks and the Chomsky Hierarchy
Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega
Poster
Wed 7:30 Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Biswadeep Chakraborty · Saibal Mukhopadhyay
Oral
Mon 6:10 Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
Uday Kamal · Saurabh Dash · Saibal Mukhopadhyay
Poster
Mon 7:30 Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
Uday Kamal · Saurabh Dash · Saibal Mukhopadhyay
Poster
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
Yu Duan · Zhongfan Jia · Qian Li · Yi Zhong · Kaisheng Ma
Poster
Wed 2:30 Liquid Structural State-Space Models
Ramin Hasani · Mathias Lechner · Johnson (Tsun-Hsuan) Wang · Makram Chahine · Alexander Amini · Daniela Rus
Poster
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Zehao Niu · Mihai Anitescu · Jie Chen
Poster
Wed 7:30 Hyperparameter Optimization through Neural Network Partitioning
Bruno Mlodozeniec · Matthias Reisser · Christos Louizos
Workshop
Expanding the Extrapolation Limits of Neural Network Force Fields using Physics-Based Data Augmentation
Yuliia Orlova · Gavin Ridley · Frederick Zhao · Rafael Gomez-Bombarelli
Poster
Wed 2:30 How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping · Micah Goldblum · Gowthami Somepalli · Ravid Shwartz-Ziv · Tom Goldstein · Andrew Wilson