Mario Geiger
11 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Triple Crown
ποΈ
Keyword Collector
(61)
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Century Club Β· Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
protein structure
(2)
geometric deep learning
(2)
stochastic gradient descent
(1)
transfer learning
(1)
point cloud
(1)
generalization error
(1)
irreducible representations
(1)
autoregressive model
(1)
group theory
(1)
deep learning
(1)
neural network optimization
(1)
loss landscape
(1)
flow matching
(1)
diffusion model
(1)
feature learning
(1)
convolutional neural network
(1)
feature map
(1)
deep neural network
(1)
convolutional network
(1)
image classification
(1)
Papers
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
ICML 2025
Proteina: Scaling Flow-based Protein Structure Generative Models
ICLR 2025
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
ICLR 2024
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
NeurIPS 2023
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
ICML 2023
Relative stability toward diffeomorphisms indicates performance in deep nets
NeurIPS 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
NeurIPS 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces
NeurIPS 2019
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
NeurIPS 2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
ICML 2018
Spherical CNNs
ICLR 2018