Michael Bronstein
- LLMs can hide text in other text of the same length
2025/10/22 by Antonio Norelli, Michael Bronstein, Norelli, Antonio +1 · 17 voices
Computer Science · #Spam and Phishing Detection #Topic Modeling #Adversarial Robustness in Machine Learning
- A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
2023/12/12 by Alexandre Duval, Simon V. Mathis, Duval, Alexandre +19 · 2 voices · 14 citations
Materials Science · Physics and Astronomy · #Nuclear Physics and Applications #X-ray Diffraction in Crystallography #cs.AI #cs.LG #q-bio.QM #stat.ML
- SE(3)-Stochastic Flow Matching for Protein Backbone Generation
2023/10/03 by Avishek Joey Bose, Bose, Avishek Joey, Tara Akhound-Sadegh +19 · 3 voices · 33 citations
Biochemistry, Genetics and Molecular Biology · Engineering · #cs.LG #cs.AI
- Why do LLMs attend to the first token?
2025/04/03 by Federico Barbero, Barbero, Federico, Álvaro Arroyo +11 · 3 voices · 30 citations
#cs.CL
- Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023/07/17 by Xuan Zhang, Limei Wang, Zhang, Xuan +123 · 1 voice · 17 citations
#cs.LG #physics.comp-ph
- Metric Flow Matching for Smooth Interpolations on the Data Manifold
2024/05/23 by Kacper Kapuśniak, Kapuśniak, Kacper, Peter Potaptchik +15 · 2 voices · 16 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Methods and Algorithms #cs.LG #stat.ML
- Curvature Filtrations for Graph Generative Model Evaluation
2023/01/30 by Joshua Southern, Jeremy Wayland, Southern, Joshua +5 · 2 voices · 2 citations
#cs.LG #math.AT #stat.ML
- Relaxed Equivariance via Multitask Learning
2024/10/23 by Ahmed A. Elhag, T. Konstantin Rusch, Elhag, Ahmed A. +6 · 1 voice · 4 citations
Computer Science · #Machine Learning and Algorithms #Neural Networks and Applications #Seismology and Earthquake Studies #cs.LG
- Homomorphism Counts for Graph Neural Networks: All About That Basis
2024/02/13 by Emily Jin, Michael Bronstein, Michael M. Bronstein +6 · 2 voices · 3 citations
Computer Science · #Advanced Graph Neural Networks #Neural Networks and Applications #cs.LG
- Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
2025/03/12 by Huidong Liang, Haitz Sáez de Ocáriz Borde, Liang, Huidong +8 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Graph Theory and Algorithms #cs.AI #cs.LG
- OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
2025/12/07 by Emily Jin, Andrei Cristian Nica, Jin, Emily +19 · 1 voice · 1 citation
Materials Science · Chemistry · Computer Science · #Machine Learning in Materials Science #Crystallography and molecular interactions #Computational Drug Discovery Methods