Andrew Saxe

According to our database, Andrew Saxe authored at least 6 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Theory of Unimodal Bias in Multimodal Learning.

Yedi Zhang, Peter E. Latham, Andrew Saxe

CoRR, 2023

2022

Exact learning dynamics of deep linear networks with prior knowledge.

Lukas Braun, Clémentine Dominé, James Fitzgerald, Andrew Saxe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Inferring Actions, Intentions, and Causal Relations in a Deep Neural Network.

Keno Juechems, Andrew Saxe

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2018

Are Efficient Deep Representations Learnable?

Maxwell I. Nye, Andrew Saxe

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures.

Sebastian Musslick, Andrew Saxe, Kayhan Özcimder, Biswadip Dey, Greg Henselman, Jonathan D. Cohen

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Inferring actions, intentions, and causal relations in a neural network.

Andrew Saxe

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016