Lie Point Symmetry and Physics-Informed Networks. - Tara Akhound-Sadegh; Laurence Perreault Levasseur; Johannes Brandstetter; Max Welling; Siamak Ravanbakhsh (NeurIPS, 2023)

SE(3)-Stochastic Flow Matching for Protein Backbone Generation. - Avishek Joey Bose; Tara Akhound-Sadegh; Guillaume Huguet; Kilian Fatras; Jarrid Rector-Brooks; Cheng-Hao Liu; Andrei Cristian Nica; Maksym Korablyov; Michael M. Bronstein; Alexander Tong 001 (ICLR, 2024)

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. - 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; Alexander Tong 001 (ICML, 2024)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation. - Guillaume Huguet; James Vuckovic; Kilian Fatras; Eric Thibodeau-Laufer; Pablo Lemos; Riashat Islam; Cheng-Hao Liu; Jarrid Rector-Brooks; Tara Akhound-Sadegh; Michael M. Bronstein; Alexander Tong 001; Avishek Joey Bose (NeurIPS, 2024)

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. - Guillaume Huguet; James Vuckovic; Kilian Fatras; Eric Thibodeau-Laufer; Pablo Lemos; Riashat Islam; Cheng-Hao Liu; Jarrid Rector-Brooks; Tara Akhound-Sadegh; Michael M. Bronstein; Alexander Tong 001; Avishek Joey Bose (CoRR, 2024)

Sampling from Energy-based Policies using Diffusion. - Vineet Jain; Tara Akhound-Sadegh; Siamak Ravanbakhsh (CoRR, 2024)

Symmetry-Aware Generative Modeling through Learned Canonicalization. - Kusha Sareen; Daniel Levy; Arnab Kumar Mondal; Sékou-Oumar Kaba; Tara Akhound-Sadegh; Siamak Ravanbakhsh (CoRR, 2025)

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts. - Marta Skreta; Tara Akhound-Sadegh; Viktor Ohanesian; Roberto Bondesan; Alán Aspuru-Guzik; Arnaud Doucet; Rob Brekelmans; Alexander Tong 001; Kirill Neklyudov (CoRR, 2025)

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities. - Tara Akhound-Sadegh; Jungyoon Lee; Avishek Joey Bose; Valentin De Bortoli; Arnaud Doucet; Michael M. Bronstein; Dominique Beaini; Siamak Ravanbakhsh; Kirill Neklyudov; Alexander Tong 001 (CoRR, 2025)