Axel Levy - RankMe

17 papers A* 3Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dual Ascent Diffusion for Inverse Problems. CoRR Minseo Kim, Axel Levy, Gordon Wetzstein
2025	J	`jnl`	Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data. CoRR Rishwanth Raghu, Axel Levy, Gordon Wetzstein, Ellen D. Zhong
2024	—	`conf`	MELON: NeRF with Unposed Images in SO(3). 3DV Axel Levy, Mark J. Matthews, Matan Sela, Gordon Wetzstein, Dmitry Lagun
2024	A*	`conf`	Mixture of neural fields for heterogeneous reconstruction in cryo-EM. NeurIPS Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong
2024	J	`jnl`	Mixture of neural fields for heterogeneous reconstruction in cryo-EM. CoRR Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong
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	A*	`conf`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. ICCV Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
2023	J	`jnl`	Generative Novel View Synthesis with 3D-Aware Diffusion Models. CoRR Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein
2023	J	`jnl`	MELON: NeRF with Unposed Images Using Equivalence Class Estimation. CoRR Axel Levy, Mark J. Matthews, Matan Sela, Gordon Wetzstein, Dmitry Lagun
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