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FEAT: Free energy Estimators with Adaptive Transport | Yuanqi Du & Jiajun He
1:00:59
FEAT: Free energy Estimators with Adaptive Transport | Yuanqi Du & Jiajun He
Mapping cells through time and space with moscot | Dominik Klein
1:07:57
Mapping cells through time and space with moscot | Dominik Klein
Atom level enzyme active site scaffolding using RFdiffusion2 | Jason Yim & Woody Ahern
1:12:41
Atom level enzyme active site scaffolding using RFdiffusion2 | Jason Yim & Woody Ahern
Evo2: Genome modeling and design across all domains of life with Evo 2 | Garyk Brixi
58:51
Evo2: Genome modeling and design across all domains of life with Evo 2 | Garyk Brixi
Integration of variant annotations using deep set networks boosts rare variant association testing
1:08:41
Integration of variant annotations using deep set networks boosts rare variant association testing
A General Framework for Inference-time Scaling and Steering of Diffusion Models
1:17:54
A General Framework for Inference-time Scaling and Steering of Diffusion Models
HELM: Hierarchical Encoding for mRNA Language Modeling | Mangal Prakash & Artem Moskalev
58:40
HELM: Hierarchical Encoding for mRNA Language Modeling | Mangal Prakash & Artem Moskalev
Quantifying cell identity and tracking cell fate trajectories | Maria Yampolskaya
47:10
Quantifying cell identity and tracking cell fate trajectories | Maria Yampolskaya
Spatiotemporal modeling of molecular holograms | Xiaojie Qiu
1:09:06
Spatiotemporal modeling of molecular holograms | Xiaojie Qiu
Distilling Foundation Models via Energy Hessians | Ishan Amin & Sanjeev Raja
54:22
Distilling Foundation Models via Energy Hessians | Ishan Amin & Sanjeev Raja
Inverse problems with experiment-guided AlphaFold | Sanketh Vedula & Nadav Bojan Sellam
47:55
Inverse problems with experiment-guided AlphaFold | Sanketh Vedula & Nadav Bojan Sellam
Genome modeling and design across all domains of life with Evo 2 | Garyk Brixi
1:05:06
Genome modeling and design across all domains of life with Evo 2 | Garyk Brixi
Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
54:24
Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
GENERator: A Long-Context Generative Genomic Foundation Model | Qiuyi Li
42:08
GENERator: A Long-Context Generative Genomic Foundation Model | Qiuyi Li
MoML at Mila 2024 Recap
2:08
MoML at Mila 2024 Recap
The Superposition of Diffusion Models Using the Itô Density Estimator | Marta Skreta
1:01:29
The Superposition of Diffusion Models Using the Itô Density Estimator | Marta Skreta
Targeting protein–ligand neosurfaces with a generalizable deep learning tool | Anthony Marchand
1:11:03
Targeting protein–ligand neosurfaces with a generalizable deep learning tool | Anthony Marchand
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
49:30
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
53:32
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Foundation Models for Biological Data Modalities
1:05:16
Foundation Models for Biological Data Modalities
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
55:41
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
1:12:13
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
Scalable Emulation of Protein equilibrium Ensembles with Generative Deep Learning
1:17:02
Scalable Emulation of Protein equilibrium Ensembles with Generative Deep Learning
Does equivariance matter at scale? | Johann Brehmer
1:04:11
Does equivariance matter at scale? | Johann Brehmer
Neural Entropy | Akhil Premkumar
1:39:31
Neural Entropy | Akhil Premkumar
scPRINT: pre-training on 50 million cells allows robust gene network predictions | Jérémie Kalfon
1:11:41
scPRINT: pre-training on 50 million cells allows robust gene network predictions | Jérémie Kalfon
Learning Equivariant Non-Local Electron Density Functionals | Nicholas Gao
48:18
Learning Equivariant Non-Local Electron Density Functionals | Nicholas Gao
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
1:13:42
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
BindCraft: one-shot design of functional protein binders
1:36:09
BindCraft: one-shot design of functional protein binders
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic
1:17:00
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold | Lazar Atanackovic