MS
Max Schwarzer
cs.LGcs.AIstat.MLcs.CLcond-mat.mtrl-scics.CVcond-mat.mes-hallphysics.data-anstat.ME
On Valency
published · living versionsW_qszyds88·v1 · currentpublished
Competitive Programming with Large Reasoning Models
with OpenAI, :, Ahmed El-Kishky, Alexander Wei +21
1 version
Preprints & journals
15 papers in the corpus · 2018–2025OpenAI o1 System Card2412.16720v2 · OpenAI: Aaron Jaech, Adam Kalai, Adam Lerer et al.2024 · 44 citationsarXiv
Competitive Programming with Large Reasoning Models2502.06807v2 · OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva et al.2025 · 6 citationsarXivon Valency
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training2403.09611v4 · Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier et al.2024 · 11 citationsarXiv
Large Language Models as Generalizable Policies for Embodied Tasks2310.17722v2 · Andrew Szot, Max Schwarzer, Harsh Agrawal et al.2023 · 8 citationsarXiv
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy2311.17894v1 · Max Schwarzer, Jesse Farebrother, Joshua Greaves et al.2023 · 0 citationsarXiv
Bigger, Better, Faster: Human-level Atari with human-level efficiency2305.19452v3 · Max Schwarzer, Johan Obando-Ceron, Aaron Courville et al.2023 · 5 citationsarXiv
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress2206.01626v2 · Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro et al.2022 · 8 citationsarXiv
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification2204.00616v2 · Samuel Lavoie, Christos Tsirigotis, Max Schwarzer et al.2022 · 6 citationsarXiv
GAIT: A Geometric Approach to Information Theory1906.08325v3 · Jose Gallego-Posada, Ankit Vani, Max Schwarzer et al.2019 · 2 citationsPMLR (2020) 108:2601-2611
The Primacy Bias in Deep Reinforcement Learning2205.07802v1 · Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro et al.2022 · 14 citationsarXiv
Deep Reinforcement Learning at the Edge of the Statistical Precipice2108.13264v4 · Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro et al.2021 · 41 citationsarXiv
Pretraining Representations for Data-Efficient Reinforcement Learning2106.04799v1 · Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch et al.2021 · 34 citationsarXiv
Data-Efficient Reinforcement Learning with Self-Predictive Representations2007.05929v4 · Max Schwarzer, Ankesh Anand, Rishab Goel et al.2020 · 84 citationsarXiv
Iterated learning for emergent systematicity in VQA2105.01119v1 · Ankit Vani, Max Schwarzer, Yuchen Lu et al.2021 · 2 citations9th International Conference on Learning Representations (ICLR 2021)
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks1810.06118v3 · Max Schwarzer, Bryce Rogan, Yadong Ruan et al.2018 · 87 citationsComputational Materials Science 162, 322-332 (2019)
Career total: 25 works. 15 are in this corpus.
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