David Rolnick
David Rolnick
McGill University, Mila Quebec AI Institute
Verified email at cs.mcgill.ca - Homepage
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
4232017
Deep learning is robust to massive label noise
D Rolnick, A Veit, S Belongie, N Shavit
arXiv preprint arXiv:1705.10694, 2017
2162017
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1142019
The power of deeper networks for expressing natural functions
D Rolnick, M Tegmark
arXiv preprint arXiv:1705.05502, 2017
852017
How to start training: The effect of initialization and architecture
B Hanin, D Rolnick
Advances in Neural Information Processing Systems, 571-581, 2018
762018
Experience replay for continual learning
D Rolnick, A Ahuja, J Schwarz, T Lillicrap, G Wayne
Advances in Neural Information Processing Systems, 350-360, 2019
712019
Complexity of linear regions in deep networks
B Hanin, D Rolnick
arXiv preprint arXiv:1901.09021, 2019
412019
Deep ReLU networks have surprisingly few activation patterns
B Hanin, D Rolnick
Advances in Neural Information Processing Systems, 361-370, 2019
272019
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
222016
Quantitative Tverberg, Helly, & Carathéodory theorems
JA De Loera, RN La Haye, D Rolnick, P Soberón
arXiv preprint arXiv:1503.06116, 2015
162015
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
14*2015
Morphological error detection in 3D segmentations
D Rolnick, Y Meirovitch, T Parag, H Pfister, V Jain, JW Lichtman, ...
arXiv preprint arXiv:1705.10882, 2017
122017
Quantitative (p, q) theorems in combinatorial geometry
D Rolnick, P Soberón
Discrete Mathematics 340 (10), 2516-2527, 2017
112017
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
112017
Measuring and regularizing networks in function space
AS Benjamin, D Rolnick, K Kording
arXiv preprint arXiv:1805.08289, 2018
102018
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 Conference on Computer Vision and Pattern …, 2019
92019
Quantitative combinatorial geometry for continuous parameters
JA De Loera, RN La Haye, D Rolnick, P Soberón
Discrete & Computational Geometry 57 (2), 318-334, 2017
92017
Generative models and abstractions for large-scale neuroanatomy datasets
D Rolnick, EL Dyer
Current opinion in neurobiology 55, 112-120, 2019
82019
Acyclic subgraphs of planar digraphs
N Golowich, D Rolnick
arXiv preprint arXiv:1407.8045, 2014
72014
Trees with an on-line degree Ramsey number of four
D Rolnick
Electronic Journal of Combinatorics, 2011
72011
The system can't perform the operation now. Try again later.
Articles 1–20