Eric J. Michaud

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Papers (4)

1. There Will Be a Scientific Theory of Deep Learning stat.ML · 2026 · author #12
2. Open Problems in Mechanistic Interpretability cs.LG · 2025 · author #19
3. Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models cs.LG · 2024 · author #3
4. Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback cs.AI · 2023 · author #22

Mentions

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Frequent Coauthors

• David Bau 2 shared papers
• Samuel Marks 2 shared papers
• Stephen Casper 2 shared papers
• Aaron Mueller 1 shared papers
• Adria Garriga-Alonso 1 shared papers
• Alejandro Ortega 1 shared papers
• Alexander Atanasov 1 shared papers
• Anand Siththaranjan 1 shared papers
• Anca Dragan 1 shared papers
• Andi Peng 1 shared papers
• Arthur Conmy 1 shared papers
• Arthur Jacot 1 shared papers
• Atticus Geiger 1 shared papers
• Berkan Ottlik 1 shared papers
• Bilal Chughtai 1 shared papers
• Blake Bordelon 1 shared papers
• Can Rager 1 shared papers
• Charbel-Rapha\"el Segerie 1 shared papers
• Claudia Shi 1 shared papers
• Daniel Kunin 1 shared papers