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Max Schwarzer
Max Schwarzer
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Deep reinforcement learning at the edge of the statistical precipice
R Agarwal, M Schwarzer, PS Castro, A Courville, MG Bellemare
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
5432021
Data-Efficient Reinforcement Learning with Self-Predictive Representations
M Schwarzer, A Anand, R Goel, RD Hjelm, A Courville, P Bachman
International Conference on Learning Representations, 2021
318*2021
Pretraining representations for data-efficient reinforcement learning
M Schwarzer, N Rajkumar, M Noukhovitch, A Anand, L Charlin, RD Hjelm, ...
Advances in Neural Information Processing Systems 34, 12686-12699, 2021
1302021
The primacy bias in deep reinforcement learning
E Nikishin, M Schwarzer, P D’Oro, PL Bacon, A Courville
International Conference on Machine Learning, 16828-16847, 2022
1202022
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks
M Schwarzer, B Rogan, Y Ruan, Z Song, DY Lee, AG Percus, VT Chau, ...
Computational Materials Science 162, 322-332, 2019
812019
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
P D'Oro, M Schwarzer, E Nikishin, PL Bacon, MG Bellemare, A Courville
International Conference on Learning Representations, 0
56*
Reincarnating reinforcement learning: Reusing prior computation to accelerate progress
R Agarwal, M Schwarzer, PS Castro, AC Courville, M Bellemare
Advances in Neural Information Processing Systems 35, 28955-28971, 2022
53*2022
Bigger, Better, Faster: Human-level Atari with human-level efficiency
M Schwarzer, J Obando-Ceron, A Courville, M Bellemare, R Agarwal, ...
International Conference on Machine Learning, 2023
442023
Mm1: Methods, analysis & insights from multimodal llm pre-training
B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ...
arXiv preprint arXiv:2403.09611, 2024
352024
Iterated Learning for Emergent Systematicity in VQA
A Vani, M Schwarzer, Y Lu, E Dhekane, A Courville
ICLR, 2021
282021
Tumor necrosis factor (TNF) superfamily receptor IgM antibodies and uses thereof
BTY Wang, MA Schwarzer, BA Keyt, R Baliga
US Patent 9,938,347, 2018
192018
Multimeric death domain-containing receptor-5 (DR5) antibodies and uses thereof
BTY Wang, MA Schwarzer, BA Keyt, R Baliga
US Patent 10,689,449, 2020
162020
Large language models as generalizable policies for embodied tasks
A Szot, M Schwarzer, H Agrawal, B Mazoure, R Metcalf, W Talbott, ...
The Twelfth International Conference on Learning Representations, 2023
152023
Human evaluation for text simplification: The simplicity-adequacy tradeoff
M Schwarzer, D Kauchak
SoCal NLP Symposium, 2018
152018
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
S Lavoie, C Tsirigotis, M Schwarzer, A Vani, M Noukhovitch, K Kawaguchi, ...
International Conference on Learning Representations, 2022
112022
GAIT: A Geometric Approach to Information Theory
JG Posada, A Vani, M Schwarzer, S Lacoste-Julien
International Conference on Artificial Intelligence and Statistics, 2601-2611, 2020
3*2020
Improving Human Text Simplification with Sentence Fusion
M Schwarzer, T Tanprasert, D Kauchak
Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural …, 2021
22021
Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM
KM Roccapriore, M Schwarzer, J Greaves, J Farebrother, R Agarwal, ...
Microscopy and Microanalysis 29 (Supplement_1), 1932-1933, 2023
12023
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
M Schwarzer, J Farebrother, J Greaves, ED Cubuk, R Agarwal, ...
arXiv preprint arXiv:2311.17894, 2023
2023
Analysis of high dimensional distributions with decoupled norm and direction
J Gallego, A Vani, M Schwarzer, S Lotfi
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Articles 1–20