Charlotte Bunne

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 23

Top Topics

Population Dynamics

Hamilton Jacobi

Image Smoothing

Convolutional Neural Networks

Top Venues

Publications

Michael Plainer, Hannes Stärk, Charlotte Bunne, Stephan Günnemann
Transition Path Sampling with Boltzmann Generator-based MCMC Moves. CoRR (2023)
Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli
Unbalanced Diffusion Schrödinger Bridge. CoRR (2023)
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
Aligned Diffusion Schrödinger Bridges. UAI (2023)
Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne
Aligned Diffusion Schrödinger Bridges. CoRR (2023)
Puck van Gerwen, Ksenia R. Briling, Charlotte Bunne, Vignesh Ram Somnath, Rubén Laplaza, Andreas Krause, Clémence Corminboeuf
EquiReact: An equivariant neural network for chemical reactions. CoRR (2023)
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
The Schrödinger Bridge between Gaussian Measures has a Closed Form. AISTATS (2023)
Charlotte Bunne, Andreas Krause, Marco Cuturi
Supervised Training of Conditional Monge Maps. CoRR (2022)
Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer
Invariant Causal Mechanisms through Distribution Matching. CoRR (2022)
Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. ICLR (2022)
Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi
Proximal Optimal Transport Modeling of Population Dynamics. AISTATS (2022)
Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings. CoRR (2022)
Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein. CoRR (2022)
Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause
Multi-Scale Representation Learning on Proteins. CoRR (2022)
Charlotte Bunne, Andreas Krause, Marco Cuturi
Supervised Training of Conditional Monge Maps. NeurIPS (2022)
Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR (2022)
Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi Jaakkola, Andreas Krause
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. CoRR (2021)
Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause
Multi-Scale Representation Learning on Proteins. NeurIPS (2021)
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay
Learning Graph Models for Retrosynthesis Prediction. NeurIPS (2021)
Charlotte Bunne, Laetitia Meng-Papaxanthos, Andreas Krause, Marco Cuturi
JKOnet: Proximal Optimal Transport Modeling of Population Dynamics. CoRR (2021)
Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay
Learning Graph Models for Template-Free Retrosynthesis. CoRR (2020)
Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka
Learning Generative Models across Incomparable Spaces. ICML (2019)
Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka
Learning Generative Models across Incomparable Spaces. CoRR (2019)
Charlotte Bunne, Lukas Rahmann, Thomas Wolf
Studying Invariances of Trained Convolutional Neural Networks. CoRR (2018)