Gabriele Corso
12 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
💎
Century Club
(12)
🔥
Unstoppable
(6)
Conferences
ICLR (4)
ICML (4)
NIPS (3)
ECCV (1)
Top co-authors
Keywords
graph neural network
(3)
representation learning
(2)
message passing
(1)
mutual information
(1)
distance metric learning
(1)
weisfeiler-lehman test
(1)
generative model
(1)
diffusion model
(1)
graph isomorphism
(1)
graph convolution
(1)
geometric learning
(1)
self-supervised pre-training
(1)
biological sequence
(1)
molecular property prediction
(1)
directional derivative
(1)
hyperbolic space
(1)
laplacian eigenvector
(1)
aggregation function
(1)
neural embedding
(1)
boltzmann generator
(1)
Papers
Composing Unbalanced Flows for Flexible Docking and Relaxation
ICLR 2025
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
ICML 2024
Deep Confident Steps to New Pockets: Strategies for Docking Generalization
ICLR 2024
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
ICLR 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
ICML 2024
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
ICLR 2023
Torsional Diffusion for Molecular Conformer Generation
NIPS 2022
Subspace Diffusion Generative Models
ECCV 2022
3D Infomax improves GNNs for Molecular Property Prediction
ICML 2022
Directional Graph Networks
ICML 2021
Neural Distance Embeddings for Biological Sequences
NIPS 2021
Principal Neighbourhood Aggregation for Graph Nets
NIPS 2020