David Rolnick

Cited by

	All	Since 2018
Citations	4617	4414
h-index	18	18
i10-index	33	30

1400

700

350

1050

20152016201720182019202020212022202313 26 116 204 371 605 790 1076 1357

Public access

View all

20 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIVerified email at mit.edu
Lynn H. KaackHertie SchoolVerified email at hertie-school.org
Nikola Milojevic-DupontTechnical University BerlinVerified email at mcc-berlin.net
Kelly KochanskiPhD, University of Colorado - BoulderVerified email at colorado.edu
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBVerified email at upenn.edu
S. Karthik MukkavilliIBM ResearchVerified email at ibm.com
Evan D. SherwinStanford UniversityVerified email at stanford.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Sasha LuccioniHugging FaceVerified email at huggingface.co
Max TegmarkProfessor of Physics, MITVerified email at mit.edu
Anna Waldman-BrownMIT Industrial Performance CenterVerified email at alum.mit.edu
Serge BelongieUniversity of CopenhagenVerified email at di.ku.dk
Boris HaninAssistant Professor, Princeton ORFEVerified email at princeton.edu
Andrew RossPhD student, Harvard UniversityVerified email at g.harvard.edu
Kris SankaranAssistant Professor of Statistics, University of Wisconsin - MadisonVerified email at wisc.edu
Felix CreutzigMercator Research Institute on Global Commons and Climate Change & TUB, BerlinVerified email at mcc-berlin.net
Natasha JaquesGoogle Research, UC BerkeleyVerified email at google.com
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com
Tegan MaharajAssistant Professor at University of TorontoVerified email at polymtl.ca
John C. PlattGoogleVerified email at google.com

David Rolnick

McGill University, Mila Quebec AI Institute

Verified email at cs.mcgill.ca - Homepage

Machine Learning Climate Change Deep Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	859*	2022
Why does deep and cheap learning work so well? HW Lin, M Tegmark, D Rolnick Journal of Statistical Physics 168, 1223-1247, 2017	729	2017
Experience replay for continual learning D Rolnick, A Ahuja, J Schwarz, TP Lillicrap, G Wayne Advances in Neural Information Processing Systems, 2019	707	2019
Deep learning is robust to massive label noise D Rolnick, A Veit, S Belongie, N Shavit arXiv preprint arXiv:1705.10694, 2017	601	2017
How to start training: The effect of initialization and architecture B Hanin, D Rolnick Advances in Neural Information Processing Systems, 2018	248	2018
The power of deeper networks for expressing natural functions D Rolnick, M Tegmark International Conference on Learning Representations, 2018	209	2018
Deep ReLU networks have surprisingly few activation patterns B Hanin, D Rolnick Advances in Neural Information Processing Systems, 361-370, 2019	191	2019
Complexity of linear regions in deep networks B Hanin, D Rolnick International Conference on Machine Learning, 2596-2604, 2019	190	2019
Measuring and regularizing networks in function space AS Benjamin, D Rolnick, K Kording International Conference on Learning Representations, 2019	124	2019
DC3: A learning method for optimization with hard constraints PL Donti, D Rolnick, JZ Kolter International Conference on Learning Representations, 2021	114	2021
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	91	2022
Reverse-engineering deep ReLU networks D Rolnick, K Kording International Conference on Machine Learning, 8178-8187, 2020	76*	2020
A multi-pass approach to large-scale connectomics Y Meirovitch, A Matveev, H Saribekyan, D Budden, D Rolnick, G Odor, ... arXiv preprint arXiv:1612.02120, 2016	41	2016
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	35	2019
Morphological error detection in 3d segmentations D Rolnick, Y Meirovitch, T Parag, H Pfister, V Jain, JW Lichtman, ... arXiv preprint arXiv:1705.10882, 2017	25	2017
Graph-coloring ideals: Nullstellensatz certificates, Gröbner bases for chordal graphs, and hardness of Gröbner bases JA De Loera, S Margulies, M Pernpeintner, E Riedl, D Rolnick, G Spencer, ... Proceedings of the 2015 ACM on International Symposium on Symbolic and …, 2015	22*	2015
Bugs in the data: How ImageNet misrepresents biodiversity AS Luccioni, D Rolnick AAAI Conference on Artificial Intelligence, 2022	21	2022
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, 479-509, 2022	20	2022
Techniques for symbol grounding with satnet S Topan, D Rolnick, X Si Advances in Neural Information Processing Systems 34, 20733-20744, 2021	18	2021
Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals LH Kaack, PL Donti, E Strubell, D Rolnick	17	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors