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2020 – today
- 2023
[i12]Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne:
Aligned Diffusion Schrödinger Bridges. CoRR abs/2302.11419 (2023)- 2022
- [c6]Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi:
Proximal Optimal Transport Modeling of Population Dynamics. AISTATS 2022: 6511-6528 - [c5]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 - [c4]Charlotte Bunne, Andreas Krause, Marco Cuturi:
Supervised Training of Conditional Monge Maps. NeurIPS 2022 - [i11]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 abs/2201.12324 (2022) - [i10]Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause:
Recovering Stochastic Dynamics via Gaussian Schrödinger Bridges. CoRR abs/2202.05722 (2022) - [i9]Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause:
Multi-Scale Representation Learning on Proteins. CoRR abs/2204.02337 (2022) - [i8]Mathieu Chevalley, Charlotte Bunne, Andreas Krause, Stefan Bauer:
Invariant Causal Mechanisms through Distribution Matching. CoRR abs/2206.11646 (2022) - [i7]Charlotte Bunne, Andreas Krause, Marco Cuturi:
Supervised Training of Conditional Monge Maps. CoRR abs/2206.14262 (2022) - [i6]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 abs/2209.15621 (2022) - 2021
- [c3]Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay:
Learning Graph Models for Retrosynthesis Prediction. NeurIPS 2021: 9405-9415 - [c2]Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause:
Multi-Scale Representation Learning on Proteins. NeurIPS 2021: 25244-25255 - [i5]Charlotte Bunne, Laetitia Meng-Papaxanthos, Andreas Krause, Marco Cuturi:
JKOnet: Proximal Optimal Transport Modeling of Population Dynamics. CoRR abs/2106.06345 (2021) - [i4]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. CoRR abs/2111.07786 (2021) - 2020
- [i3]Vignesh Ram Somnath
, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay:
Learning Graph Models for Template-Free Retrosynthesis. CoRR abs/2006.07038 (2020)
2010 – 2019
- 2019
- [c1]Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka:
Learning Generative Models across Incomparable Spaces. ICML 2019: 851-861 - [i2]Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka:
Learning Generative Models across Incomparable Spaces. CoRR abs/1905.05461 (2019) - 2018
- [i1]Charlotte Bunne, Lukas Rahmann, Thomas Wolf:
Studying Invariances of Trained Convolutional Neural Networks. CoRR abs/1803.05963 (2018)
Coauthor Index
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last updated on 2023-05-12 21:07 CEST by the dblp team
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