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ORCIDAchille Nazaret
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2020 – today
- 2024
[c4]Achille O. R. Nazaret, Claudia Shi, David M. Blei:
On the Misspecification of Linear Assumptions in Synthetic Controls. AISTATS 2024: 3790-3798- [c3]Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei:
Stable Differentiable Causal Discovery. ICML 2024 - [i7]Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David M. Blei:
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees. CoRR abs/2406.07658 (2024) - [i6]Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei:
Hypothesis Testing the Circuit Hypothesis in LLMs. CoRR abs/2410.13032 (2024) - 2023
- [j1]Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley You Ren, Guillermo Sapiro, Andrew C. Miller
:
Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digit. Medicine 6 (2023) - [i5]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i4]Achille Nazaret, Justin Hong, Elham Azizi, David M. Blei:
Stable Differentiable Causal Discovery. CoRR abs/2311.10263 (2023) - 2022
- [c2]Achille Nazaret, David M. Blei:
Variational Inference for Infinitely Deep Neural Networks. ICML 2022: 16447-16461 - [i3]Achille Nazaret, David M. Blei:
Variational Inference for Infinitely Deep Neural Networks. CoRR abs/2209.10091 (2022) - 2020
- [c1]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:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. ICML 2020: 1918-1928 - [i2]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:
Stochastic Flows and Geometric Optimization on the Orthogonal Group. CoRR abs/2003.13563 (2020)
2010 – 2019
- 2019
- [i1]Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. CoRR abs/1905.02269 (2019)
Coauthor Index
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