Kleinhenz, Joseph

7 publications

NeurIPS 2025 JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation Ameya Daigavane, Bodhi P. Vani, Darcy Davidson, Saeed Saremi, Joshua A Rackers, Joseph Kleinhenz

NeurIPS 2025 Unified All-Atom Molecule Generation with Neural Fields Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily K. Makowski, Andrew Martin Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi

NeurIPSW 2024 JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling Ameya Daigavane, Bodhi P. Vani, Saeed Saremi, Joshua A Rackers, Joseph Kleinhenz

ICLR 2024 Protein Discovery with Discrete Walk-Jump Sampling Nathan C. Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

NeurIPS 2023 3D Molecule Generation by Denoising Voxel Grids Pedro O O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi

ICLRW 2023 Learning Protein Family Manifolds with Smoothed Energy-Based Models Nathan C. Frey, Dan Berenberg, Joseph Kleinhenz, Isidro Hotzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

NeurIPSW 2023 Protein Discovery with Discrete Walk-Jump Sampling Nathan Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Vladimir Gligorijevic, Saeed Saremi