Hannes Stärk
9 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (6) 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
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Taxonomy Completionist
(13)
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Trend Setter
Conferences
ICML (4)
ICLR (3)
NIPS (2)
Top co-authors
Research topics
Keywords
representation learning
(1)
transfer learning
(1)
geometric deep learning
(1)
flow matching
(1)
mutual information
(1)
generative model
(1)
surrogate model
(1)
molecular dynamics
(1)
drug discovery
(1)
forward simulation
(1)
trajectory upsampling
(1)
molecular design
(1)
equivariant neural network
(1)
geometric learning
(1)
self-supervised pre-training
(1)
molecular property prediction
(1)
molecular docking
(1)
graph neural network
(1)
protein-ligand binding
(1)
3d molecular structure
(1)
Papers
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025
Think while You Generate: Discrete Diffusion with Planned Denoising
ICLR 2025
Dirichlet Flow Matching with Applications to DNA Sequence Design
ICML 2024
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
NIPS 2024
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
ICML 2024
Generative Modeling of Molecular Dynamics Trajectories
NIPS 2024
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
ICLR 2023
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
ICML 2022
3D Infomax improves GNNs for Molecular Property Prediction
ICML 2022