Nicolas Beltran-Velez

According to our database1, Nicolas Beltran-Velez authored at least 8 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders.
CoRR, July, 2025

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees.
CoRR, 2024

DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data.
Proceedings of the Research in Computational Molecular Biology, 2024

Hypothesis Testing the Circuit Hypothesis in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Estimating the Hallucination Rate of Generative AI.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages.
Proceedings of the Forty-first International Conference on Machine Learning, 2024


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