Geiger, Mario

15 publications

ICLRW 2025 Efficient Molecular Conformer Generation with SO(3) Averaged Flow-Matching and Reflow Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Kucukbenli

ICML 2025 Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Kucukbenli

ICLRW 2025 EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants Allan Dos Santos Costa, Ilan Mitnikov, Franco Pellegrini, Ameya Daigavane, Mario Geiger, Zhonglin Cao, Karsten Kreis, Tess Smidt, Emine Kucukbenli, Joseph Jacobson

ICLR 2025 Proteina: Scaling Flow-Based Protein Structure Generative Models Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis

ICLRW 2024 Ophiuchus: Scalable Modeling of Protein Structures Through Hierarchical Coarse-Graining SO(3)-Equivariant Autoencoders Allan Dos Santos Costa, Ilan Mitnikov, Mario Geiger, Manvitha Ponnapati, Tess Smidt, Joseph Jacobson

ICLR 2024 Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation Ameya Daigavane, Song Eun Kim, Mario Geiger, Tess Smidt

NeurIPS 2023 A General Framework for Equivariant Neural Networks on Reductive Lie Groups Ilyes Batatia, Mario Geiger, Jose Munoz, Tess Smidt, Lior Silberman, Christoph Ortner

ICML 2023 Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning Antonio Sclocchi, Mario Geiger, Matthieu Wyart

NeurIPSW 2023 Phonon Predictions with E(3)-Equivariant Graph Neural Networks Shiang Fang, Mario Geiger, Joseph Checkelsky, Tess Smidt

NeurIPS 2021 Relative Stability Toward Diffeomorphisms Indicates Performance in Deep Nets Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart

NeurIPS 2021 SE(3)-Equivariant Prediction of Molecular Wavefunctions and Electronic Densities Oliver Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller

NeurIPS 2019 A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S Cohen, Mario Geiger, Maurice Weiler

NeurIPS 2018 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler, Mario Geiger, Max Welling, Wouter Boomsma, Taco S Cohen

ICML 2018 Comparing Dynamics: Deep Neural Networks Versus Glassy Systems Marco Baity-Jesi, Levent Sagun, Mario Geiger, Stefano Spigler, Gerard Ben Arous, Chiara Cammarota, Yann LeCun, Matthieu Wyart, Giulio Biroli

ICLR 2018 Spherical CNNs Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling