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ORCIDSaeed Saremi
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Journal Articles
- 2019
[j5]Saeed Saremi, Aapo Hyvärinen:
Neural Empirical Bayes. J. Mach. Learn. Res. 20: 181:1-181:23 (2019)- 2016
- [j4]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): 1016-1020 (2016) - 2014
- [j3]Saeed Saremi, Terrence J. Sejnowski:
On Criticality in High-Dimensional Data. Neural Comput. 26(7): 1329-1339 (2014) - 2013
- [j2]Saeed Saremi, Terrence J. Sejnowski, Tatyana O. Sharpee
:
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches. Neural Comput. 25(4): 922-939 (2013) - [j1]Saeed Saremi, Terrence J. Sejnowski:
Hierarchical model of natural images and the origin of scale invariance. Proc. Natl. Acad. Sci. USA 110(8): 3071-3076 (2013)
Conference and Workshop Papers
- 2024
- [c5]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 - [c4]Saeed Saremi, Ji Won Park, Francis R. Bach:
Chain of Log-Concave Markov Chains. ICLR 2024 - [c3]Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi:
Structure-based drug design by denoising voxel grids. ICML 2024 - 2023
- [c2]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 - 2022
- [c1]Saeed Saremi, Rupesh Kumar Srivastava:
Multimeasurement Generative Models. ICLR 2022
Informal and Other Publications
- 2024
- [i17]Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi:
Structure-based drug design by denoising voxel grids. CoRR abs/2405.03961 (2024) - [i16]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 abs/2407.03428 (2024) - 2023
- [i15]Saeed Saremi, Rupesh Kumar Srivastava, Francis R. Bach:
Universal Smoothed Score Functions for Generative Modeling. CoRR abs/2303.11669 (2023) - [i14]Saeed Saremi, Ji Won Park, Francis R. Bach:
Chain of Log-Concave Markov Chains. CoRR abs/2305.19473 (2023) - [i13]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 abs/2306.07473 (2023) - [i12]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 abs/2306.12360 (2023) - 2022
- [i11]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 abs/2210.04096 (2022) - 2021
- [i10]Timothy Atkinson, Saeed Saremi, Faustino J. Gomez, Jonathan Masci:
Automatic design of novel potential 3CLpro and PLpro inhibitors. CoRR abs/2101.11890 (2021) - [i9]Saeed Saremi, Rupesh Kumar Srivastava:
Multimeasurement Generative Models. CoRR abs/2112.09822 (2021) - 2020
- [i8]Saeed Saremi, Rupesh Srivastava:
Provable Robust Classification via Learned Smoothed Densities. CoRR abs/2005.04504 (2020) - [i7]Saeed Saremi:
Learning and Inference in Imaginary Noise Models. CoRR abs/2005.09047 (2020) - [i6]Saeed Saremi:
Unnormalized Variational Bayes. CoRR abs/2007.15130 (2020) - 2019
- [i5]Saeed Saremi, Aapo Hyvärinen:
Neural Empirical Bayes. CoRR abs/1903.02334 (2019) - [i4]Saeed Saremi:
On approximating ∇f with neural networks. CoRR abs/1910.12744 (2019) - 2018
- [i3]Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen:
Deep Energy Estimator Networks. CoRR abs/1805.08306 (2018) - 2017
- [i2]Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi:
Annealed Generative Adversarial Networks. CoRR abs/1705.07505 (2017) - 2015
- [i1]Saeed Saremi, Terrence J. Sejnowski:
The Wilson Machine for Image Modeling. CoRR abs/1510.07740 (2015)
Coauthor Index
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