Frédéric Poitevin

21 papers A* 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
The LCLStream Ecosystem for Multi-Institutional Dataset Exploration.
SCA/HPC Asia Workshops
David M. Rogers, Valerio Mariani, Cong Wang, Ryan N. Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Thomas L. Beck, Frédéric Poitevin, Jana Thayer
2025 J jnl
A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE.
CoRR
Aashwin Mishra, Matt Seaberg, Ryan Roussel, Frédéric Poitevin, Jana Thayer, Daniel Ratner, Auralee Edelen, Apurva Mehta
2025 J jnl
The LCLStream Ecosystem for Multi-Institutional Dataset Exploration.
CoRR
David M. Rogers, Valerio Mariani, Cong Wang, Ryan N. Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Thomas L. Beck, Frédéric Poitevin, Jana Thayer
2024 — conf
Matrix Sketching for Online Analysis of LCLS Imaging Datasets.
SC Workshops
John Winnicki, Frédéric Poitevin, Haoyuan Li, Eric Darve
2024 J jnl
Solving Inverse Problems in Protein Space Using Diffusion-Based Priors.
CoRR
Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein
2023 J jnl
AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps.
IEEE ACM Trans. Comput. Biol. Bioinform.
Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc
2023 J jnl
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems.
CoRR
David A. Klindt, Sophia Sanborn, Francisco Acosta, Frédéric Poitevin, Nina Miolane
2023 J jnl
Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains.
CoRR
Bongjin Koo, Julien N. P. Martel, Ariana Peck, Axel Levy, Frédéric Poitevin, Nina Miolane
2023 J jnl
Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning.
CoRR
Jay Shenoy, Axel Levy, Frédéric Poitevin, Gordon Wetzstein
2022 A* conf
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM.
NeurIPS
Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong
2022 J jnl
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM.
CoRR
Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong
2022 — conf
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images.
ECCV (21)
Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
2022 J jnl
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images.
CoRR
Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
2022 J jnl
Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy.
CoRR
Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane
2022 J jnl
Heterogeneous reconstruction of deformable atomic models in Cryo-EM.
CoRR
Youssef S. G. Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin
2021 — conf
CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.
ICCVW
Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner
2021 J jnl
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.
CoRR
Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner
2021 J jnl
MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX.
Bioinform.
Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc
2020 — conf
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks.
CVPR Workshops
Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes
2019 J jnl
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks.
CoRR
Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes
2011 J jnl
AquaSAXS: a web server for computation and fitting of SAXS profiles with non-uniformally hydrated atomic models.
Nucleic Acids Res.
Frédéric Poitevin, Henri Orland, Sebastian Doniach, Patrice Koehl, Marc Delarue