Sampling Binary Data by Denoising through Score Functions.
CoRR, February, 2025
JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling.
CoRR, 2024
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries.
CoRR, 2024
Structure-based drug design by denoising voxel grids.
CoRR, 2024
Score-based 3D molecule generation with neural fields.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Structure-based drug design by denoising voxel grids.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Chain of Log-Concave Markov Chains.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Protein Discovery with Discrete Walk-Jump Sampling.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
Universal Smoothed Score Functions for Generative Modeling.
CoRR, 2023
3D molecule generation by denoising voxel grids.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design.
CoRR, 2022
Multimeasurement Generative Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Automatic design of novel potential 3CL<sup>pro</sup> and PL<sup>pro</sup> inhibitors.
CoRR, 2021
Unnormalized Variational Bayes.
CoRR, 2020
Learning and Inference in Imaginary Noise Models.
CoRR, 2020
Provable Robust Classification via Learned Smoothed Densities.
CoRR, 2020
J. Mach. Learn. Res., 2019
On approximating ∇f with neural networks.
CoRR, 2019
Deep Energy Estimator Networks.
CoRR, 2018
Annealed Generative Adversarial Networks.
CoRR, 2017
Correlated Percolation, Fractal Structures, and Scale-Invariant Distribution of Clusters in Natural Images.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
The Wilson Machine for Image Modeling.
CoRR, 2015
On Criticality in High-Dimensional Data.
Neural Comput., 2014
Hierarchical model of natural images and the origin of scale invariance.
Proc. Natl. Acad. Sci. USA, 2013
Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches.
Neural Comput., 2013