Tara Akhound-Sadegh

14 papers A* 5Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
FALCON: Few-step Accurate Likelihoods for Continuous Flows.
CoRR
Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong
2025 A* conf
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts.
ICML
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025 J jnl
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts.
CoRR
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alán Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
2025 J jnl
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.
CoRR
Tara Akhound-Sadegh, Jungyoon Lee, Avishek Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael M. Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
2025 J jnl
Symmetry-Aware Generative Modeling through Learned Canonicalization.
CoRR
Kusha Sareen, Daniel Levy, Arnab Kumar Mondal, Sékou-Oumar Kaba, Tara Akhound-Sadegh, Siamak Ravanbakhsh
2024 A* conf
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
ICML
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
2024 J jnl
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
CoRR
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
2024 A* conf
SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
ICLR
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
2024 J jnl
Sampling from Energy-based Policies using Diffusion.
CoRR
Vineet Jain, Tara Akhound-Sadegh, Siamak Ravanbakhsh
2024 J jnl
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.
CoRR
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, Avishek Joey Bose
2024 A* conf
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation.
NeurIPS
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, Avishek Joey Bose
2023 J jnl
Lie Point Symmetry and Physics Informed Networks.
CoRR
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
2023 A* conf
Lie Point Symmetry and Physics-Informed Networks.
NeurIPS
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
2023 J jnl
SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
CoRR
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong