Joseph Kleinhenz

According to our database, Joseph Kleinhenz authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Unified all-atom molecule generation with neural fields.

Matthieu Kirchmeyer, Pedro O. Pinheiro, Emma Willett, Karolis Martinkus, Joseph Kleinhenz, Emily K. Makowski, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Saeed Saremi

CoRR, November, 2025

Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment.

Ameya Daigavane, Yuqing Xie, Bodhi P. Vani, Saeed Saremi, Joseph Kleinhenz, Tess E. Smidt

CoRR, October, 2025

2024

Concept Bottleneck Language Models For protein design.

Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Taylor Joren, Joseph Kleinhenz, Allen Goodman, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey

CoRR, 2024

JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling.

Ameya Daigavane, Bodhi P. Vani, Saeed Saremi, Joseph Kleinhenz, Joshua A. Rackers

CoRR, 2024

Protein Discovery with Discrete Walk-Jump Sampling.

Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

3D molecule generation by denoising voxel grids.

Pedro O. Pinheiro, Joshua A. Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023