Nicolas Flammarion

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Papers (11)

1. (How) Learning Rates Regulate Catastrophic Overtraining cs.LG · 2026 · author #3
2. Transformers Learn Latent Mixture Models In-Context via Mirror Descent cs.LG · 2026 · author #2
3. Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning cs.CV · 2025 · author #3
4. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cs.CR · 2024 · author #8
5. Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs stat.ML · 2022 · author #3
6. Escaping from saddle points on Riemannian manifolds math.OC · 2019 · author #2
7. Fast Mean Estimation with Sub-Gaussian Rates math.ST · 2019 · author #2
8. Averaging Stochastic Gradient Descent on Riemannian Manifolds cs.LG · 2018 · author #2
9. On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo stat.ML · 2018 · author #2
10. Robust Discriminative Clustering with Sparse Regularizers stat.ML · 2016 · author #1
11. Optimal Rates of Statistical Seriation math.ST · 2016 · author #1

Mentions

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Frequent Coauthors

• Francesco Croce 2 shared papers
• Francis Bach 2 shared papers
• Michael I. Jordan 2 shared papers
• Peter L. Bartlett 2 shared papers
• Aditya Varre 1 shared papers
• Alexander Robey 1 shared papers
• Balamurugan Palaniappan 1 shared papers
• Cheng Mao 1 shared papers
• Edgar Dobriban 1 shared papers
• Edoardo Debenedetti 1 shared papers
• Eric Wong 1 shared papers
• Etienne Boursier 1 shared papers
• Farshad Khorrami 1 shared papers
• Florian Tramer 1 shared papers
• Francesco D'Angelo 1 shared papers
• George J. Pappas 1 shared papers
• Hamed Hassani 1 shared papers
• Loucas Pillaud-Vivien 1 shared papers
• Maksym Andriushchenko 1 shared papers
• Mark Rofin 1 shared papers