Justin M. Solomon

21 papers A* 13Misc 1Journal 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Nuclear Norm Regularization for Deep Learning. NeurIPS Christopher Scarvelis, Justin M. Solomon
2024	A*	`conf`	Score Distillation via Reparametrized DDIM. NeurIPS Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin M. Solomon
2023	A*	`conf`	Self-Consistent Velocity Matching of Probability Flows. NeurIPS Lingxiao Li, Samuel Hurault, Justin M. Solomon
2022	A*	`conf`	Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ICML Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon
2022	Misc	`conf`	Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon
2022	J	`jnl`	Symmetric Volume Maps. CoRR S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon
2021	J	`jnl`	DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CoRR David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon
2021	A*	`conf`	Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. NeurIPS Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	HodgeNet: Learning Spectral Geometry on Triangle Meshes. CoRR Dmitriy Smirnov, Justin M. Solomon
2021	A*	`conf`	Large-Scale Wasserstein Gradient Flows. NeurIPS Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev
2021	A*	`conf`	MarioNette: Self-Supervised Sprite Learning. NeurIPS Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
2021	A*	`conf`	Object DGCNN: 3D Object Detection using Dynamic Graphs. NeurIPS Yue Wang, Justin M. Solomon
2021	A*	`conf`	Outlier-Robust Optimal Transport. ICML Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin
2020	A*	`conf`	Continuous Regularized Wasserstein Barycenters. NeurIPS Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin M. Solomon
2019	A*	`conf`	Alleviating Label Switching with Optimal Transport. NeurIPS Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin
2019	J	`jnl`	Deep Closest Point: Learning Representations for Point Cloud Registration. CoRR Yue Wang, Justin M. Solomon
2019	J	`jnl`	Dynamic Graph CNN for Learning on Point Clouds. ACM Trans. Graph. Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon
2019	A*	`conf`	Hierarchical Optimal Transport for Document Representation. NeurIPS Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon
2019	A*	`conf`	PRNet: Self-Supervised Learning for Partial-to-Partial Registration. NeurIPS Yue Wang, Justin M. Solomon
2019	J	`jnl`	PRNet: Self-Supervised Learning for Partial-to-Partial Registration. CoRR Yue Wang, Justin M. Solomon
2018	J	`jnl`	Dynamic Graph CNN for Learning on Point Clouds. CoRR Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon