Ellen D. Zhong

According to our database, Ellen D. Zhong authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

CryoHype: Reconstructing a thousand cryo-EM structures with transformer-based hypernetworks.

Jeffrey Gu, Minkyu Jeon, Ambri Ma, Serena Yeung-Levy, Ellen D. Zhong

CoRR, December, 2025

Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data.

Rishwanth Raghu, Axel Levy, Gordon Wetzstein, Ellen D. Zhong

CoRR, June, 2025

Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra.

Ziyu Xiong, Yichi Zhang, Foyez Alauddin, Chu Xin Cheng, Joon Soo An, Mohammad R. Seyedsayamdost, Ellen D. Zhong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Mixture of neural fields for heterogeneous reconstruction in cryo-EM.

Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM.

Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya M. Hanson, Pilar Cossio, Ellen D. Zhong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

2021

CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images.

Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger

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

2020

Learning Mutational Semantics.

Brian Hie, Ellen D. Zhong, Bryan Bryson, Bonnie Berger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reconstructing continuous distributions of 3D protein structure from cryo-EM images.

Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models.

Ellen D. Zhong, Tristan Bepler, Joseph H. Davis, Bonnie Berger

CoRR, 2019

Explicitly disentangling image content from translation and rotation with spatial-VAE.

Tristan Bepler, Ellen D. Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Erratum to: Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset.

Michael R. Shirts, Christoph Klein, Jason M. Swails, Jian Yin, Michael K. Gilson, David L. Mobley, David A. Case, Ellen D. Zhong

J. Comput. Aided Mol. Des., 2017

Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset.

Michael R. Shirts, Christoph Klein, Jason M. Swails, Jian Yin, Michael K. Gilson, David L. Mobley, David A. Case, Ellen D. Zhong

J. Comput. Aided Mol. Des., 2017