Saremi, Saeed

18 publications

NeurIPS 2025 Generative Property Enhancer: Implicit Guided Generation Through Conditional Density Estimation Pedro O. Pinheiro, Pan Kessel, Aya Abdelsalam Ismail, Sai Pooja Mahajan, Kyunghyun Cho, Saeed Saremi, Natasa Tagasovska

ICLRW 2025 Guided Generation of B-Cell Receptors with Conditional Walk-Jump Sampling Taylor Joren, Sarah A Robinson, Homa MohammadiPeyhani, Sai Pooja Mahajan, Edith Lee, Stephen Lillington, Qixin Bei, Saeed Saremi, Jae Hyeon Lee, Richard Bonneau, Isidro Hotzel, Vladimir Gligorijevic, Simon Kelow, Nathan C. Frey

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

ICML 2025 Sampling Binary Data by Denoising Through Score Functions Francis Bach, Saeed Saremi

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

ICLR 2024 Chain of Log-Concave Markov Chains Saeed Saremi, Ji Won Park, Francis Bach

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

ICMLW 2024 NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries Ewa Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser

NeurIPSW 2024 Pharmacophore-Based Design by Learning on Voxel Grids Omar Mahmood, Pedro O. Pinheiro, Richard Bonneau, Saeed Saremi, Vishnu Sresht

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 2024 Score-Based 3D Molecule Generation with Neural Fields Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi

ICML 2024 Structure-Based Drug Design by Denoising Voxel Grids Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, 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

ICLR 2022 Multimeasurement Generative Models Saeed Saremi, Rupesh Kumar Srivastava

NeurIPSW 2022 PropertyDAG: Multi-Objective Bayesian Optimization of Partially Ordered, Mixed-Variable Properties for Biological Sequence Design Ji Won Park, Samuel Don Stanton, Saeed Saremi, Andrew Martin Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho

JMLR 2019 Neural Empirical Bayes Saeed Saremi, Aapo Hyvärinen