Saeed Saremi

According to our database, Saeed Saremi authored at least 23 papers between 2013 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries.

Ewa M. Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser

CoRR, 2024

Structure-based drug design by denoising voxel grids.

Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi

CoRR, 2024

Structure-based drug design by denoising voxel grids.

Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Chain of Log-Concave Markov Chains.

Saeed Saremi, Ji Won Park, Francis R. Bach

Proceedings of the Twelfth International Conference on Learning Representations, 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

Universal Smoothed Score Functions for Generative Modeling.

Saeed Saremi, Rupesh Kumar Srivastava, Francis R. Bach

CoRR, 2023

3D molecule generation by denoising voxel grids.

Pedro O. Pinheiro, Joshua 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

2022

PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design.

Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho

CoRR, 2022

Multimeasurement Generative Models.

Saeed Saremi, Rupesh Kumar Srivastava

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automatic design of novel potential 3CL^pro and PL^pro inhibitors.

Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci

CoRR, 2021

2020

Unnormalized Variational Bayes.

Saeed Saremi

CoRR, 2020

Learning and Inference in Imaginary Noise Models.

Saeed Saremi

CoRR, 2020

Provable Robust Classification via Learned Smoothed Densities.

Saeed Saremi, Rupesh Srivastava

CoRR, 2020

2019

Neural Empirical Bayes.

Saeed Saremi, Aapo Hyvärinen

J. Mach. Learn. Res., 2019

On approximating ∇f with neural networks.

Saeed Saremi

CoRR, 2019

2018

Deep Energy Estimator Networks.

Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen

CoRR, 2018

2017

Annealed Generative Adversarial Networks.

Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi

CoRR, 2017

2016

Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images.

Saeed Saremi, Terrence J. Sejnowski

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

The Wilson Machine for Image Modeling.

Saeed Saremi, Terrence J. Sejnowski

CoRR, 2015

2014

On Criticality in High-Dimensional Data.

Saeed Saremi, Terrence J. Sejnowski

Neural Comput., 2014

2013

Hierarchical model of natural images and the origin of scale invariance.

Saeed Saremi, Terrence J. Sejnowski

Proc. Natl. Acad. Sci. USA, 2013

Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches.

Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee

Neural Comput., 2013