Frédéric Poitevin

According to our database, Frédéric Poitevin authored at least 14 papers between 2011 and 2024.

Collaborative distances:

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

2024

Solving Inverse Problems in Protein Space Using Diffusion-Based Priors.

Axel Levy, Eric R. Chan, Sara Fridovich-Keil, Frédéric Poitevin, Ellen D. Zhong, Gordon Wetzstein

CoRR, 2024

2023

AlignOT: An Optimal Transport Based Algorithm for Fast 3D Alignment With Applications to Cryogenic Electron Microscopy Density Maps.

Aryan Tajmir Riahi, Geoffrey Woollard, Frédéric Poitevin, Anne Condon, Khanh Dao Duc

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Scalable 3D Reconstruction From Single Particle X-Ray Diffraction Images Based on Online Machine Learning.

Jay Shenoy, Axel Levy, Frédéric Poitevin, Gordon Wetzstein

CoRR, 2023

Identifying Interpretable Visual Features in Artificial and Biological Neural Systems.

David A. Klindt, Sophia Sanborn, Francisco Acosta, Frédéric Poitevin, Nina Miolane

CoRR, 2023

Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains.

Bongjin Koo, Julien N. P. Martel, Ariana Peck, Axel Levy, Frédéric Poitevin, Nina Miolane

CoRR, 2023

2022

Heterogeneous reconstruction of deformable atomic models in Cryo-EM.

Youssef S. G. Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin

CoRR, 2022

Deep Generative Modeling for Volume Reconstruction in Cryo-Electron Microscopy.

Claire Donnat, Axel Levy, Frédéric Poitevin, Nina Miolane

CoRR, 2022

Amortized Inference for Heterogeneous Reconstruction in Cryo-EM.

Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images.

Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.

Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner

CoRR, 2021

MorphOT: transport-based interpolation between EM maps with UCSF ChimeraX.

Arthur Ecoffet, Frédéric Poitevin, Khanh Dao Duc

Bioinform., 2021

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.

Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks.

Nina Miolane, Frédéric Poitevin, Yee-Ting Li, Susan P. Holmes

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2011

AquaSAXS: a web server for computation and fitting of SAXS profiles with non-uniformally hydrated atomic models.

Frédéric Poitevin, Henri Orland, Sebastian Doniach, Patrice Koehl, Marc Delarue

Nucleic Acids Res., 2011