Justin Solomon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
14
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers. | Behrooz Zarebavani, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon |
| 2025 | ICML | Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. | Rickard Brel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2025 | SIGGRAPH | Variational Elastodynamic Simulation. | Leticia Mattos Da Silva, Silvia Selln, Natalia Pacheco-Tallaj, Justin Solomon |
| 2025 | UIST | FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations. | Ticha Sethapakdi, Maxine Perroni-Scharf, Mingming Li, Jiaji Li, Justin Solomon, Arvind Satyanarayan, Stefanie Mueller |
| 2025 | SiggraphA | Low-Rank Adaptation of Neural Fields. | Anh Truong, Ahmed H. Mahmoud, Mina Konakovic-Lukovic, Justin Solomon |
| 2024 | ICML | Slicing Mutual Information Generalization Bounds for Neural Networks. | Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brel Gabrielsson, Justin Solomon |
| 2024 | ICML | Asymmetry in Low-Rank Adapters of Foundation Models. | Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sez de Ocriz Borde, Rickard Brel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon |
| 2023 | ICLR | Learning Proximal Operators to Discover Multiple Optima. | Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon |
| 2023 | ICLR | Sampling with Mollified Interaction Energy Descent. | Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon |
| 2023 | ICLR | Riemannian Metric Learning via Optimal Transport. | Christopher Scarvelis, Justin Solomon |
| 2023 | SIGGRAPH | A Convex Optimization Framework for Regularized Geodesic Distances. | Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen |
| 2023 | SIGGRAPH | Data-Free Learning of Reduced-Order Kinematics. | Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon |
| 2023 | SIGGRAPH | Sum-of-Squares Collision Detection for Curved Shapes and Paths. | Paul Zhang, Zo Marschner, Justin Solomon, Rasmus Tamstorf |
| 2022 | CVPR | DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. | David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon |
| 2021 | CoRL | DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. | Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon |
| 2021 | CVPR | Polygonal Building Extraction by Frame Field Learning. | Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka |
| 2021 | ICLR | Learning Manifold Patch-Based Representations of Man-Made Shapes. | Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon |
| 2021 | ICLR | Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. | Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev |
| 2021 | UAI | Improving approximate optimal transport distances using quantization. | Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon |
| 2020 | CVPR | Deep Parametric Shape Predictions Using Distance Fields. | Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon |
| 2020 | ECCV | Pillar-Based Object Detection for Autonomous Driving. | Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon |
| 2020 | ICML | Model Fusion with Kullback-Leibler Divergence. | Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon |
| 2020 | IGARSS | Regularized Building Segmentation by Frame Field Learning. | Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka |
| 2019 | ICCV | Deep Closest Point: Learning Representations for Point Cloud Registration. | Yue Wang, Justin Solomon |
| 2019 | ICLR | Learning Embeddings into Entropic Wasserstein Spaces. | Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon |
| 2019 | MICCAI | Placental Flattening via Volumetric Parameterization. | Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland |
| 2018 | ICML | Stochastic Wasserstein Barycenters. | Sebastian Claici, Edward Chien, Justin Solomon |
| 2018 | SGP | Functional Maps on Product Manifolds. | Emanuele Rodol, Zorah Lhner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon |
| 2016 | ICML | Gromov-Wasserstein Averaging of Kernel and Distance Matrices. | Gabriel Peyr, Marco Cuturi, Justin Solomon |
| 2015 | ICML | Exponential Integration for Hamiltonian Monte Carlo. | Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha |
| 2014 | ICML | Wasserstein Propagation for Semi-Supervised Learning. | Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher |
| 2012 | ICPR | Fast smoothed shock filtering. | Antoine Vacavant, Adelaide Albouy-Kissi, Pierre-Yves Menguy, Justin Solomon |
| 2007 | SIGGRAPH | Fast and accurate estimation of principal curvatures and directions for morphable models. | Justin Solomon |