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Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling


May 23, 2023
Qidong Yang, Alex Hernandez-Garcia, Paula Harder, Venkatesh Ramesh, Prasanna Sattegeri, Daniela Szwarcman, Campbell D. Watson, David Rolnick

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* Presented at the ICLR 2023 workshop on "Tackling Climate Change with Machine Learning" 

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Bird Distribution Modelling using Remote Sensing and Citizen Science data


May 01, 2023
Mélisande Teng, Amna Elmustafa, Benjamin Akera, Hugo Larochelle, David Rolnick

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* Tackling Climate Change with Machine Learning Workshop, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda 

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FAENet: Frame Averaging Equivariant GNN for Materials Modeling


Apr 28, 2023
Alexandre Duval, Victor Schmidt, Alex Hernandez Garcia, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick

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* Accepted at ICML 2023 

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Lightweight, Pre-trained Transformers for Remote Sensing Timeseries


Apr 27, 2023
Gabriel Tseng, Ivan Zvonkov, Mirali Purohit, David Rolnick, Hannah Kerner

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Maximal Initial Learning Rates in Deep ReLU Networks


Dec 14, 2022
Gaurav Iyer, Boris Hanin, David Rolnick

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PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design


Nov 22, 2022
Alexandre Duval, Victor Schmidt, Santiago Miret, Yoshua Bengio, Alex Hernández-García, David Rolnick

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* Accepted at the NeurIPS 2022 AI for Accelerated Materials Design Workshop 

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Understanding the Evolution of Linear Regions in Deep Reinforcement Learning


Oct 24, 2022
Setareh Cohen, Nam Hee Kim, David Rolnick, Michiel van de Panne

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* NeurIPS 2022 camera ready 

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Bugs in the Data: How ImageNet Misrepresents Biodiversity


Aug 24, 2022
Alexandra Sasha Luccioni, David Rolnick

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Generating physically-consistent high-resolution climate data with hard-constrained neural networks


Aug 08, 2022
Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernandez-Garcia, Campbell Watson, Daniela Szwarcman, David Rolnick

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On Neural Architecture Inductive Biases for Relational Tasks


Jun 09, 2022
Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake Richards, Guillaume Lajoie

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