Nasim Rahaman

On the Spectral Bias of Neural Networks

Nasim Rahaman, Aristide Baratin, Devansh Arpit et al. · arXiv (Cornell University) · 2018 · 163 citations · Full text

Spectral Theory, Artificial Intelligence, Spectral Bias +17

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

Yoshua Bengio, Tristan Deleu, Nasim Rahaman et al. · arXiv (Cornell University) · 2019 · 122 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19

The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning

Steffen Wolf, Alberto Bailoni, Constantin Pape et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 51 citations · Full text

On the Spectral Bias of Deep Neural Networks

Nasim Rahaman, Devansh Arpit, Aristide Baratin et al. · arXiv (Cornell University) · 2018 · 46 citations · Full text

Artificial Intelligence, Spectral Bias, Geometric Learning +14

Coordination Among Neural Modules Through a Shared Global Workspace

Anirudh Goyal, Aniket Didolkar, Alex Lamb et al. · arXiv (Cornell University) · 2021 · 17 citations · Full text

Artificial Intelligence, Geometric Learning, Convolutional Neural Network +21