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Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Efficiently generating statistically independent samples from an unnormalized probability distribution, such as equilibrium samples of …
Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alex Tong
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Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
A Computational Framework for Solving Wasserstein Lagrangian Flows
The dynamical formulation of the optimal transport can be extended through various choices of the underlying geometry (kinetic energy), …
Kirill Neklyudov, Rob Brekelmans, Alex Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani
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Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems
Understanding causal relationships within Gene Regulatory Networks (GRNs) is essential for unraveling the gene interactions in cellular …
Trang Nguyen, Alex Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu
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Learning Transcriptional and Regulatory Dynamics Driving Cancer Cell Plasticity Using Neural ODE-Based Optimal Transport
Alex Tong, Manik Kuchroo, Shabarni Gupta, Aarthi Venkat, Beatriz P. San Juan, Laura Rangel, Brandon Zhu, John G. Lock, Christine L. Chaffer, Smita Krishnaswamy
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