NG
Nathan Grinsztajn
cs.LGcs.AIcs.CLcs.CVcs.ROcs.SI
On Valency
published · living versionsW_5txyfx4z·v1 · currentpublished
Preprints & journals
22 papers in the corpus · 2020–2026Shieldstral2607.25857v2 · Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli et al.2026 · 0 citationsarXiv
Robostral Navigate2607.20785v3 · Abdelaziz Bounhar, Abhijeet Somani, Aditi Kabra et al.2026 · 0 citationsarXiv
Voxtral TTS2603.25551v2 · Mistral-AI: Alexander H. Liu, Alexis Tacnet, Andy Ehrenberg et al.2026 · 0 citationsarXiv
Voxtral Realtime2602.11298v3 · Mistral-AI: Alexander H. Liu, Andy Ehrenberg, Andy Lo et al.2026 · 0 citationsarXiv
Ministral 32601.08584v1 · Alexander H. Liu, Kartik Khandelwal, Sandeep Subramanian et al.2026 · 5 citationsarXiv
ShiQ: Bringing back Bellman to LLMs2505.11081v1 · Pierre Clavier, Nathan Grinsztajn, Raphael Avalos et al.2025 · 0 citationsarXiv
Command A: An Enterprise-Ready Large Language Model2504.00698v2 · Team Cohere: Aakanksha, Arash Ahmadian, Marwan Ahmed et al.2025 · 0 citationsarXiv
Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking2502.17246v1 · Shikha Surana, Nathan Grinsztajn, Timothy Atkinson et al.2025 · 1 citationICML 2024, AI for Science Workshop
Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier2412.04261v1 · John Dang, Shivalika Singh, Daniel D'souza et al.2024 · 4 citationsarXiv
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion2406.19185v2 · Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub et al.2024 · 0 citationsarXiv
Averaging log-likelihoods in direct alignment2406.19188v1 · Nathan Grinsztajn, Yannis Flet-Berliac, Mohammad Gheshlaghi Azar et al.2024 · 0 citationsarXiv
Memory-Enhanced Neural Solvers for Routing Problems2406.16424v4 · Felix Chalumeau, Refiloe Shabe, Noah De Nicola et al.2024 · 1 citationarXiv
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs2311.17371v3 · Andries Smit, Paul Duckworth, Nathan Grinsztajn et al.2023 · 6 citationsarXiv
Combinatorial Optimization with Policy Adaptation using Latent Space Search2311.13569v2 · Felix Chalumeau, Shikha Surana, Clement Bonnet et al.2023 · 8 citationsarXiv
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX2306.09884v2 · Cl'ement Bonnet, Daniel Luo, Donal Byrne et al.2023 · 4 citationsarXiv
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization2210.03475v2 · Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana et al.2022 · 15 citationsarXiv
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round2208.02821v1 · Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn (CRIStAL) et al.2022 · 1 citationarXiv
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences2110.10632v2 · Toby Johnstone, Nathan Grinsztajn, Johan Ferret et al.2021 · 0 citationsarXiv
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning2106.04480v3 · Nathan Grinsztajn, Johan Ferret, Olivier Pietquin et al.2021 · 6 citationsarXiv
Interferometric Graph Transform for Community Labeling2106.05875v1 · Nathan Grinsztajn (Scool), Louis Leconte (MLIA, CMAP) et al.2021 · 0 citationsarXiv
Low-Rank Projections of GCNs Laplacian2106.07360v1 · Nathan Grinsztajn (Scool), Philippe Preux (Scool), Edouard Oyallon (MLIA)2021 · 1 citationICLR 2021 Workshop GTRL, 2021, Online, France
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling2011.04333v1 · Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot et al.2020 · 9 citationsarXiv
Career total: 28 works. 22 are in this corpus.
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