Saeed Saremi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 22

Top Topics

Robust Classification

Empirical Bayes

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi
Structure-based drug design by denoising voxel grids. CoRR (2024)
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
Protein Discovery with Discrete Walk-Jump Sampling. ICLR (2024)
Saeed Saremi, Ji Won Park, Francis R. Bach
Chain of Log-Concave Markov Chains. ICLR (2024)
Ewa M. Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries. CoRR (2024)
Saeed Saremi, Rupesh Kumar Srivastava, Francis Bach
Universal Smoothed Score Functions for Generative Modeling. CoRR (2023)
Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
3D molecule generation by denoising voxel grids. NeurIPS (2023)
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
Protein Discovery with Discrete Walk-Jump Sampling. CoRR (2023)
Saeed Saremi, Ji Won Park, Francis R. Bach
Chain of Log-Concave Markov Chains. CoRR (2023)
Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew Martin Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi
3D molecule generation by denoising voxel grids. CoRR (2023)
Ji Won Park, Samuel Stanton, Saeed Saremi, Andrew M. Watkins, Henri Dwyer, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design. CoRR (2022)
Saeed Saremi, Rupesh Kumar Srivastava
Multimeasurement Generative Models. ICLR (2022)
Saeed Saremi, Rupesh Kumar Srivastava
Multimeasurement Generative Models. CoRR (2021)
Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci
inhibitors. CoRR (2021)
Saeed Saremi
Learning and Inference in Imaginary Noise Models. CoRR (2020)
Saeed Saremi
Unnormalized Variational Bayes. CoRR (2020)
Saeed Saremi, Rupesh Srivastava
Provable Robust Classification via Learned Smoothed Densities. CoRR (2020)
Saeed Saremi
On approximating ∇f with neural networks. CoRR (2019)
Saeed Saremi, Aapo Hyvärinen
Neural Empirical Bayes. CoRR (2019)
Saeed Saremi, Aapo Hyvärinen
Neural Empirical Bayes. J. Mach. Learn. Res. 20 (2019)
Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen
Deep Energy Estimator Networks. CoRR (2018)
Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi
Annealed Generative Adversarial Networks. CoRR (2017)
Saeed Saremi, Terrence J. Sejnowski
Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 38 (5) (2016)
Saeed Saremi, Terrence J. Sejnowski
The Wilson Machine for Image Modeling. CoRR (2015)
Saeed Saremi, Terrence J. Sejnowski
On Criticality in High-Dimensional Data. Neural Comput. 26 (7) (2014)
Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. Neural Comput. 25 (4) (2013)
Saeed Saremi, Terrence J. Sejnowski
Hierarchical model of natural images and the origin of scale invariance. Proc. Natl. Acad. Sci. USA 110 (8) (2013)