Ellen D. Zhong

18 papers A* 7Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra. CoRR Ziyu Xiong, Yichi Zhang, Foyez Alauddin, Chu Xin Cheng, Joon Soo An, Mohammad R. Seyedsayamdost, Ellen D. Zhong
2025	J	`jnl`	CryoHype: Reconstructing a thousand cryo-EM structures with transformer-based hypernetworks. CoRR Jeffrey Gu, Minkyu Jeon, Ambri Ma, Serena Yeung-Levy, Ellen D. Zhong
2025	J	`jnl`	Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data. CoRR Rishwanth Raghu, Axel Levy, Gordon Wetzstein, Ellen D. Zhong
2024	A*	`conf`	CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM. NeurIPS Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya M. Hanson, Pilar Cossio, Ellen D. Zhong
2024	J	`jnl`	CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM. CoRR Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya M. Hanson, Pilar Cossio, Ellen D. Zhong
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
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
2021	A*	`conf`	CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images. ICCV Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger
2020	A*	`conf`	Learning Mutational Semantics. NeurIPS Brian Hie, Ellen D. Zhong, Bryan Bryson, Bonnie Berger
2020	A*	`conf`	Reconstructing continuous distributions of 3D protein structure from cryo-EM images. ICLR Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
2019	A*	`conf`	Explicitly disentangling image content from translation and rotation with spatial-VAE. NeurIPS Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
2019	J	`jnl`	Explicitly disentangling image content from translation and rotation with spatial-VAE. CoRR Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger
2019	J	`jnl`	Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models. CoRR Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger
2017	J	`jnl`	Erratum to: Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset. J. Comput. Aided Mol. Des. Michael R. Shirts, Christoph Klein, Jason M. Swails, Jian Yin, Michael K. Gilson, David L. Mobley, David A. Case, Ellen D. Zhong
2017	J	`jnl`	Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset. J. Comput. Aided Mol. Des. Michael R. Shirts, Christoph Klein, Jason M. Swails, Jian Yin, Michael K. Gilson, David L. Mobley, David A. Case, Ellen D. Zhong