Danny Reidenbach

18 papers A* 4Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design. J. Chem. Inf. Model. Yue Jian, Curtis Wu, Danny Reidenbach, Aditi S. Krishnapriyan
2026	J	`jnl`	Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute. CoRR Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	J	`jnl`	Applications of Modular Co-Design for De Novo 3D Molecule Generation. CoRR Danny Reidenbach, Filipp Nikitin, Olexandr Isayev, Saee Paliwal
2025	J	`jnl`	CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation. J. Chem. Inf. Model. Danny Reidenbach, Aditi S. Krishnapriyan
2025	A*	`conf`	Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow. ICML Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli
2025	J	`jnl`	Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow. CoRR Zhonglin Cao, Mario Geiger, Allan dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Küçükbenli
2025	A*	`conf`	GenMol: A Drug Discovery Generalist with Discrete Diffusion. ICML Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat
2025	J	`jnl`	GenMol: A Drug Discovery Generalist with Discrete Diffusion. CoRR Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat
2025	J	`jnl`	La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching. CoRR Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Küçükbenli, Karsten Kreis, Arash Vahdat
2025	A*	`conf`	Proteina: Scaling Flow-based Protein Structure Generative Models. ICLR Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	J	`jnl`	Proteina: Scaling Flow-based Protein Structure Generative Models. CoRR Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	J	`jnl`	Rethinking Molecule Synthesizability with Chain-of-Reaction. CoRR Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Weili Nie, Arash Vahdat
2024	J	`jnl`	BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. CoRR Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick D. Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H. Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han-Yi Chou, Simon Chu, Allan dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen-Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary McClure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Saee Paliwal, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham C. Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Küçükbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B. Costa
2024	J	`jnl`	General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design. CoRR Yue Jian, Curtis Wu, Danny Reidenbach, Aditi S. Krishnapriyan
2024	A*	`conf`	Molecule Generation with Fragment Retrieval Augmentation. NeurIPS Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie
2024	J	`jnl`	Molecule Generation with Fragment Retrieval Augmentation. CoRR Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie
2023	J	`jnl`	CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation. CoRR Danny Reidenbach, Aditi S. Krishnapriyan
2022	J	`jnl`	Improving Small Molecule Generation using Mutual Information Machine. CoRR Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Gill, Johnny Israeli