Nicolas Beltran-Velez

According to our database, Nicolas Beltran-Velez authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Duel-Evolve: Reward-Free Test-Time Scaling via LLM Self-Preferences.

Sweta Karlekar, Carolina Zheng, Magnus Saebo, Nicolas Beltran-Velez, Shuyang Yu, John Bowlan, Michal Kucer, David M. Blei

CoRR, February, 2026

Inference-time Physics Alignment of Video Generative Models with Latent World Models.

Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano

CoRR, January, 2026

2025

Improving the Physics of Video Generation with VJEPA-2 Reward Signal.

Jianhao Yuan, Xiaofeng Zhang, Felix Friedrich, Nicolas Beltran-Velez, Melissa Hall, Reyhane Askari Hemmat, Xiaochuang Han, Nicolas Ballas, Michal Drozdzal, Adriana Romero-Soriano

CoRR, October, 2025

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

Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, Claudia Shi, Achille Nazaret, Asif Mallik, Amir Feder, David M. Blei

CoRR, July, 2025

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective.

Andrew Jesson, Nicolas Beltran-Velez, David M. Blei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei

CoRR, 2024

DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data.

Cameron Park, Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Satyen Gohil, Shuqiang Li, Teddy Huang, David A. Knowles, Catherine J. Wu, Elham Azizi

Proceedings of the Research in Computational Molecular Biology, 2024

Hypothesis Testing the Circuit Hypothesis in LLMs.

Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Estimating the Hallucination Rate of Generative AI.

Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees.

Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages.

Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal

Proceedings of the Forty-first International Conference on Machine Learning, 2024