Articles with public access mandates - David RolnickLearn more
Available somewhere: 28
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022
Mandates: US National Science Foundation, US Department of Energy, Natural Sciences …
Why does deep and cheap learning work so well?
HW Lin, M Tegmark, D Rolnick
Journal of Statistical Physics 168, 1223-1247, 2017
Mandates: US National Science Foundation
Aligning artificial intelligence with climate change mitigation
LH Kaack, PL Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick
Nature Climate Change 12 (6), 518-527, 2022
Mandates: US National Science Foundation, US Department of Energy
Reverse-engineering deep ReLU networks
D Rolnick, K Kording
International Conference on Machine Learning, 8178-8187, 2020
Mandates: US National Science Foundation
Digitalization and the Anthropocene
F Creutzig, D Acemoglu, X Bai, PN Edwards, MJ Hintz, LH Kaack, S Kilkis, ...
Annual review of environment and resources 47 (1), 479-509, 2022
Mandates: European Commission
Faenet: Frame averaging equivariant gnn for materials modeling
AA Duval, V Schmidt, A Hernández-Garcıa, S Miret, FD Malliaros, ...
International Conference on Machine Learning, 9013-9033, 2023
Mandates: Agence Nationale de la Recherche, Canada First Research Excellence Fund
Cross-classification clustering: An efficient multi-object tracking technique for 3-d instance segmentation in connectomics
Y Meirovitch, L Mi, H Saribekyan, A Matveev, D Rolnick, N Shavit
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: US National Science Foundation
Hidden symmetries of ReLU networks
E Grigsby, K Lindsey, D Rolnick
International Conference on Machine Learning, 11734-11760, 2023
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
On Neural Architecture Inductive Biases for Relational Tasks
G Kerg, S Mittal, D Rolnick, Y Bengio, B Richards, G Lajoie
arXiv preprint arXiv:2206.05056, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Techniques for symbol grounding with satnet
S Topan, D Rolnick, X Si
Advances in Neural Information Processing Systems 34, 20733-20744, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Randomized experimental design via geographic clustering
D Rolnick, K Aydin, J Pouget-Abadie, S Kamali, V Mirrokni, A Najmi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Mandates: US National Science Foundation
Quantitative combinatorial geometry for continuous parameters
JA De Loera, RN La Haye, D Rolnick, P Soberón
Discrete & Computational Geometry 57, 318-334, 2017
Mandates: US National Science Foundation
Quantitative Tverberg theorems over lattices and other discrete sets
JA De Loera, RN La Haye, D Rolnick, P Soberón
Discrete & Computational Geometry 58, 435-448, 2017
Mandates: US National Science Foundation
Climateset: A large-scale climate model dataset for machine learning
J Kaltenborn, C Lange, V Ramesh, P Brouillard, Y Gurwicz, C Nagda, ...
Advances in Neural Information Processing Systems 36, 21757-21792, 2023
Mandates: UK Natural Environment Research Council, European Commission
Quantitative (p, q) theorems in combinatorial geometry
D Rolnick, P Soberón
Discrete Mathematics 340 (10), 2516-2527, 2017
Mandates: US National Science Foundation
Algorithms for Tverberg's theorem via centerpoint theorems
D Rolnick, P Soberón
arXiv preprint arXiv:1601.03083, 2016
Mandates: US National Science Foundation
Hard-constrained deep learning for climate downscaling
P Harder, A Hernandez-Garcia, V Ramesh, Q Yang, P Sattegeri, ...
Journal of Machine Learning Research 24 (365), 1-40, 2023
Mandates: Fraunhofer-Gesellschaft
Generative models and abstractions for large-scale neuroanatomy datasets
D Rolnick, EL Dyer
Current opinion in neurobiology 55, 112-120, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects
DB Roy, J Alison, TA August, M Bélisle, K Bjerge, JJ Bowden, MJ Bunsen, ...
Philosophical Transactions of the Royal Society B 379 (1904), 20230108, 2024
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Pushing the frontiers in climate modelling and analysis with machine learning
V Eyring, WD Collins, P Gentine, EA Barnes, M Barreiro, T Beucler, ...
Nature Climate Change 14 (9), 916-928, 2024
Mandates: UK Natural Environment Research Council, European Commission
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