Achille Nazaret

According to our database, Achille Nazaret authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Wrist Photoplethysmography Predicts Dietary Information.

Kyle Verrier, Achille Nazaret, Joseph Futoma, Andrew C. Miller, Guillermo Sapiro

CoRR, November, 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

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Population Priors for Matrix Factorization.

Sohrab Salehi, Achille Nazaret, Sohrab P. Shah, David M. Blei

Trans. Mach. Learn. Res., 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

Extremely Greedy Equivalence Search.

Achille Nazaret, David M. Blei

Proceedings of the Uncertainty in Artificial Intelligence, 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

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

Stable Differentiable Causal Discovery.

Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei

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

On the Misspecification of Linear Assumptions in Synthetic Controls.

Achille O. R. Nazaret, Claudia Shi, David M. Blei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Modeling personalized heart rate response to exercise and environmental factors with wearables data.

Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller

npj Digit. Medicine, 2023

2022

Variational Inference for Infinitely Deep Neural Networks.

Achille Nazaret, David M. Blei

Proceedings of the International Conference on Machine Learning, 2022

2020

Stochastic Flows and Geometric Optimization on the Orthogonal Group.

Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamás Sarlós, Adrian Weller, Vikas Sindhwani

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements.

Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef

CoRR, 2019