Bonnie Berger
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Keywords
graph neural network
(2)
protein structure
(2)
3d reconstruction
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zero-shot learning
(1)
bayesian inference
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flow matching
(1)
pose estimation
(1)
large margin classification
(1)
granger causality
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gaussian process
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multi-view learning
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gene regulation
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protein sequence
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viral evolution
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genomic analysis
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stochastic process
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neural representation
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support vector machine
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Papers
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports
AAAI 2026
AlphaFold Meets Flow Matching for Generating Protein Ensembles
ICML 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design
ICML 2024
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
ICLR 2024
Generative Modeling of Molecular Dynamics Trajectories
NeurIPS 2024
Granger causal inference on DAGs identifies genomic loci regulating transcription
ICLR 2022
CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures From Real Cryo-EM Images
ICCV 2021
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
ICLR 2021
Learning Mutational Semantics
NeurIPS 2020
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
ICLR 2020
Explicitly disentangling image content from translation and rotation with spatial-VAE
NeurIPS 2019
Large-Margin Classification in Hyperbolic Space
AISTATS 2019
Learning protein sequence embeddings using information from structure
ICLR 2019