Solomon, Justin M

12 publications

NeurIPS 2023 Self-Consistent Velocity Matching of Probability Flows Lingxiao Li, Samuel Hurault, Justin M Solomon

ICML 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer, Mikhail Yurochkin, Kristjan Greenewald, Justin M Solomon

NeurIPS 2021 Do Neural Optimal Transport Solvers Work? a Continuous Wasserstein-2 Benchmark Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Alexander Filippov, Evgeny Burnaev

NeurIPS 2021 Large-Scale Wasserstein Gradient Flows Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Evgeny Burnaev

NeurIPS 2021 MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov, Michael Gharbi, Matthew Fisher, Vitor Guizilini, Alexei Efros, Justin M Solomon

NeurIPS 2021 Object DGCNN: 3D Object Detection Using Dynamic Graphs Yue Wang, Justin M Solomon

ICML 2021 Outlier-Robust Optimal Transport Debarghya Mukherjee, Aritra Guha, Justin M Solomon, Yuekai Sun, Mikhail Yurochkin

NeurIPS 2020 Continuous Regularized Wasserstein Barycenters Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin M Solomon

NeurIPS 2019 Alleviating Label Switching with Optimal Transport Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M Solomon, Mikhail Yurochkin

NeurIPS 2019 Hierarchical Optimal Transport for Document Representation Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M Solomon

NeurIPS 2019 PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang, Justin M Solomon

NeurIPS 2017 Parallel Streaming Wasserstein Barycenters Matthew Staib, Sebastian Claici, Justin M Solomon, Stefanie Jegelka