Publications

19 results for Justin Solomon

Sampling with Mollified Interaction Energy Descent
- - Lingxiao Li
  - Qiang Liu
  - et al.
- 2023
- ICLR 2023
Learning Proximal Operators to Discover Multiple Optima
- - Lingxiao Li
  - Noam Aigerman
  - et al.
- 2023
- ICLR 2023
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
- - Tal Shnitzer
  - Mikhail Yurochkin
  - et al.
- 2022
- ICML 2022
Improving Approximate Optimal Transport Distances using Quantization
- - Gaspard Beugnot
  - Aude Genevay
  - et al.
- 2021
- UAI 2021
Outlier-Robust Optimal Transport
- - Debarghya Mukherjee
  - Aritra Guha
  - et al.
- 2021
- ICML 2021
Model fusion with kullback-leibler divergence
- - Sebastian Claici
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Hierarchical optimal transport for document representation
- - Mikhail Yurochkin
  - Farzaneh Mirzazadeh
  - et al.
- 2019
- NeurIPS 2019
Alleviating label switching with optimal transport
- - Pierre Monteiller
  - Sebastian Claici
  - et al.
- 2019
- NeurIPS 2019
Learning embeddings into entropic Wasserstein spaces
- - Charlie Frogner
  - Justin Solomon
  - et al.
- 2019
- ICLR 2019