Search Results for author: Alexandra Volokhova

Found 7 papers, 5 papers with code

Towards equilibrium molecular conformation generation with GFlowNets

no code implementations20 Oct 2023 Alexandra Volokhova, Michał Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca Thiede, Zichao Yan, Alán Aspuru-Guzik, Yoshua Bengio

Sampling diverse, thermodynamically feasible molecular conformations plays a crucial role in predicting properties of a molecule.

A theory of continuous generative flow networks

1 code implementation30 Jan 2023 Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin

Generative flow networks (GFlowNets) are amortized variational inference algorithms that are trained to sample from unnormalized target distributions over compositional objects.

Variational Inference

Generative Flow Networks for Discrete Probabilistic Modeling

2 code implementations3 Feb 2022 Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, Yoshua Bengio

We present energy-based generative flow networks (EB-GFN), a novel probabilistic modeling algorithm for high-dimensional discrete data.

Stochasticity in Neural ODEs: An Empirical Study

1 code implementation ICLR Workshop DeepDiffEq 2019 Viktor Oganesyan, Alexandra Volokhova, Dmitry Vetrov

Stochastic regularization of neural networks (e. g. dropout) is a wide-spread technique in deep learning that allows for better generalization.

Data Augmentation Image Classification

Cherenkov Detectors Fast Simulation Using Neural Networks

no code implementations28 Mar 2019 Denis Derkach, Nikita Kazeev, Fedor Ratnikov, Andrey Ustyuzhanin, Alexandra Volokhova

We propose a way to simulate Cherenkov detector response using a generative adversarial neural network to bypass low-level details.

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