David Rolnick

Cited by

	All	Since 2017
Citations	2588	2528
h-index	15	14
i10-index	20	18

860

430

215

645

2015201620172018201920202021202212 26 114 209 366 597 843 396

Public access

View all

18 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Priya L. DontiPh.D. Student, Carnegie Mellon UniversityVerified email at cmu.edu
Lynn H. KaackHertie SchoolVerified email at hertie-school.org
Kelly KochanskiPhD, University of Colorado - BoulderVerified email at colorado.edu
Nikola Milojevic-DupontMercator Research Institute on Global Commons and Climate Change (MCC)Verified email at mcc-berlin.net
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering and neuroscience, UPenn, CIFARVerified email at upenn.edu
S. Karthik MukkavilliIBM ResearchVerified email at ibm.com
Anna Waldman-BrownMIT Industrial Performance CenterVerified email at alum.mit.edu
Evan D. SherwinStanford UniversityVerified email at stanford.edu
Alexandra (Sasha) LuccioniHugging FaceVerified email at huggingface.co
Andrew RossPhD student, Harvard UniversityVerified email at g.harvard.edu
Kris SankaranAssistant Professor of Statistics, University of Wisconsin - MadisonVerified email at wisc.edu
Boris HaninAssistant Professor, Princeton ORFEVerified email at princeton.edu
Max TegmarkProfessor of Physics, MITVerified email at mit.edu
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
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Pablo SoberónAssistant Professor, Baruch College & The Graduate Center, CUNYVerified email at baruch.cuny.edu
Felix CreutzigMercator Research Institute on Global Commons and Climate Change & TUB, BerlinVerified email at mcc-berlin.net
Henry W LinPrinceton UniversityVerified email at princeton.edu

David Rolnick

McGill University, Mila Quebec AI Institute

Verified email at cs.mcgill.ca - Homepage

Machine Learning Deep Learning Theory Climate Change


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Why does deep and cheap learning work so well? HW Lin, M Tegmark, D Rolnick Journal of Statistical Physics 168 (6), 1223-1247, 2017	590	2017
Deep learning is robust to massive label noise D Rolnick, A Veit, S Belongie, N Shavit arXiv preprint arXiv:1705.10694, 2017	421	2017
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	408*	2022
Experience replay for continual learning D Rolnick, A Ahuja, J Schwarz, TP Lillicrap, G Wayne Advances in Neural Information Processing Systems, 2019	289	2019
How to start training: The effect of initialization and architecture B Hanin, D Rolnick Advances in Neural Information Processing Systems, 2018	172	2018
The power of deeper networks for expressing natural functions D Rolnick, M Tegmark International Conference on Learning Representations, 2018	148	2018
Complexity of linear regions in deep networks B Hanin, D Rolnick International Conference on Machine Learning, 2596-2604, 2019	111	2019
Deep ReLU networks have surprisingly few activation patterns B Hanin, D Rolnick Advances in Neural Information Processing Systems, 361-370, 2019	104	2019
Measuring and regularizing networks in function space AS Benjamin, D Rolnick, K Kording International Conference on Learning Representations, 2019	45	2019
Reverse-engineering deep ReLU networks D Rolnick, K Kording International Conference on Machine Learning, 8178-8187, 2020	41*	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	35	2016
DC3: A learning method for optimization with hard constraints PL Donti, D Rolnick, JZ Kolter International Conference on Learning Representations, 2021	29	2021
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	23	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	20	2017
Quantitative Tverberg, Helly, & Carathéodory theorems JA De Loera, RN La Haye, D Rolnick, P Soberón arXiv preprint arXiv:1503.06116, 2015	16	2015
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	15*	2015
Quantitative (p, q) theorems in combinatorial geometry D Rolnick, P Soberón Discrete Mathematics 340 (10), 2516-2527, 2017	13*	2017
Quantitative Tverberg theorems over lattices and other discrete sets JA De Loera, RN La Haye, D Rolnick, P Soberón Discrete & Computational Geometry 58 (2), 435-448, 2017	12	2017
Quantitative combinatorial geometry for continuous parameters JA De Loera, RN La Haye, D Rolnick, P Soberón Discrete & Computational Geometry 57 (2), 318-334, 2017	12	2017
Generative models and abstractions for large-scale neuroanatomy datasets D Rolnick, EL Dyer Current opinion in neurobiology 55, 112-120, 2019	10	2019

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 this author

Cited by

Co-authors