Achille Nazaret

19 papers A* 5A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Extremely Greedy Equivalence Search.
CoRR
Achille Nazaret, David M. Blei
2025 J jnl
Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders.
CoRR
Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, Claudia Shi, Achille Nazaret, Asif Mallik, Amir Feder, David M. Blei
2025 — conf
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CLeaR
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
2025 J jnl
Wrist Photoplethysmography Predicts Dietary Information.
CoRR
Kyle Verrier, Achille Nazaret, Joseph Futoma, Andrew C. Miller, Guillermo Sapiro
2024 A conf
Extremely Greedy Equivalence Search.
UAI
Achille Nazaret, David M. Blei
2024 A* conf
Hypothesis Testing the Circuit Hypothesis in LLMs.
NeurIPS
Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024 J jnl
Hypothesis Testing the Circuit Hypothesis in LLMs.
CoRR
Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
2024 J jnl
Population Priors for Matrix Factorization.
Trans. Mach. Learn. Res.
Sohrab Salehi, Achille Nazaret, Sohrab P. Shah, David M. Blei
2024 A* conf
Stable Differentiable Causal Discovery.
ICML
Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei
2024 J jnl
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees.
CoRR
Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei
2024 A* conf
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees.
NeurIPS
Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei
2023 J jnl
Modeling personalized heart rate response to exercise and environmental factors with wearables data.
npj Digit. Medicine
Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller
2023 J jnl
Stable Differentiable Causal Discovery.
CoRR
Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei
2023 J jnl
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CoRR
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
2022 A* conf
Variational Inference for Infinitely Deep Neural Networks.
ICML
Achille Nazaret, David M. Blei
2022 J jnl
Variational Inference for Infinitely Deep Neural Networks.
CoRR
Achille Nazaret, David M. Blei
2020 A* conf
Stochastic Flows and Geometric Optimization on the Orthogonal Group.
ICML
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
2020 J jnl
Stochastic Flows and Geometric Optimization on the Orthogonal Group.
CoRR
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
2019 J jnl
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements.
CoRR
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef