Charlotte Bunne

According to our database, Charlotte Bunne authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Neural Optimal Transport for Dynamical Systems: Methods and Applications in Biomedicine.

Charlotte Bunne

PhD thesis, 2023

EquiReact: An equivariant neural network for chemical reactions.

Puck van Gerwen, Ksenia R. Briling, Charlotte Bunne, Vignesh Ram Somnath, Rubén Laplaza, Andreas Krause, Clémence Corminboeuf

CoRR, 2023

Transition Path Sampling with Boltzmann Generator-based MCMC Moves.

Michael Plainer, Hannes Stärk, Charlotte Bunne, Stephan Günnemann

CoRR, 2023

Unbalanced Diffusion Schrödinger Bridge.

Matteo Pariset, Ya-Ping Hsieh, Charlotte Bunne, Andreas Krause, Valentin De Bortoli

CoRR, 2023

Aligned Diffusion Schrödinger Bridges.

Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne

Proceedings of the Uncertainty in Artificial Intelligence, 2023

The Schrödinger Bridge between Gaussian Measures has a Closed Form.

Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings.

Frederike Lübeck, Charlotte Bunne, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez-Melis

CoRR, 2022

Invariant Causal Mechanisms through Distribution Matching.

Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer

CoRR, 2022

Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges.

Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause

CoRR, 2022

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein.

Marco Cuturi, Laetitia Meng-Papaxanthos, Yingtao Tian, Charlotte Bunne, Geoff Davis, Olivier Teboul

CoRR, 2022

Supervised Training of Conditional Monge Maps.

Charlotte Bunne, Andreas Krause, Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking.

Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause

Proceedings of the Tenth International Conference on Learning Representations, 2022

Proximal Optimal Transport Modeling of Population Dynamics.

Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

JKOnet: Proximal Optimal Transport Modeling of Population Dynamics.

Charlotte Bunne, Laetitia Meng-Papaxanthos, Andreas Krause, Marco Cuturi

CoRR, 2021

Multi-Scale Representation Learning on Proteins.

Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Graph Models for Retrosynthesis Prediction.

Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning Graph Models for Template-Free Retrosynthesis.

Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay

CoRR, 2020

2019

Learning Generative Models across Incomparable Spaces.

Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Studying Invariances of Trained Convolutional Neural Networks.

Charlotte Bunne, Lukas Rahmann, Thomas Wolf

CoRR, 2018