Justin Solomon

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 146

Top Venues

Publications

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR (2024)
Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon
Score Distillation via Reparametrized DDIM. CoRR (2024)
David R. Palmer, Albert Chern, Justin Solomon
Lifting Directional Fields to Minimal Sections. CoRR (2024)
Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein
Robust Biharmonic Skinning Using Geometric Fields. CoRR (2024)
Christopher Scarvelis, Justin Solomon
Nuclear Norm Regularization for Deep Learning. CoRR (2024)
Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR (2024)
Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR (2024)
Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR (2023)
Lingxiao Li, Samuel Hurault, Justin Solomon
Self-Consistent Velocity Matching of Probability Flows. CoRR (2023)
Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon
Sampling with Mollified Interaction Energy Descent. ICLR (2023)
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien
k-Mixup Regularization for Deep Learning via Optimal Transport. Trans. Mach. Learn. Res. 2023 (2023)
S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon
Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. 42 (3) (2023)
Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon
Data-Free Learning of Reduced-Order Kinematics. CoRR (2023)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. ICLR (2023)
Yu Wang, Minghao Guo, Justin Solomon
Variational quasi-harmonic maps for computing diffeomorphisms. ACM Trans. Graph. 42 (4) (2023)
Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
Variational Barycentric Coordinates. CoRR (2023)
Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
Variational Barycentric Coordinates. ACM Trans. Graph. 42 (6) (2023)
Leticia Mattos Da Silva, Oded Stein, Justin Solomon
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. CoRR (2023)
Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin
Large Language Model Routing with Benchmark Datasets. CoRR (2023)
Christopher Scarvelis, Justin Solomon
Riemannian Metric Learning via Optimal Transport. ICLR (2023)
Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon
GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR (2023)
Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
Closed-Form Diffusion Models. CoRR (2023)
Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen
A Convex Optimization Framework for Regularized Geodesic Distances. CoRR (2023)
Paul Zhang, Zoë Marschner, Justin Solomon, Rasmus Tamstorf
Sum-of-Squares Collision Detection for Curved Shapes and Paths. SIGGRAPH (Conference Paper Track) (2023)
Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen
A Convex Optimization Framework for Regularized Geodesic Distances. SIGGRAPH (Conference Paper Track) (2023)
Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon
Data-Free Learning of Reduced-Order Kinematics. SIGGRAPH (Conference Paper Track) (2023)
Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon
Sampling with Mollified Interaction Energy Descent. CoRR (2022)
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Learning Proximal Operators to Discover Multiple Optima. CoRR (2022)
Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
Co-Optimization of Design and Fabrication Plans for Carpentry. ACM Trans. Graph. 41 (3) (2022)
Christopher Scarvelis, Justin Solomon
Riemannian Metric Learning via Optimal Transport. CoRR (2022)
Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR (2022)
Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Tuan Nguyen Trung, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen
Synthesis of Frame Field-Aligned Multi-Laminar Structures. ACM Trans. Graph. 41 (5) (2022)
Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR (2022)
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
Rewiring with Positional Encodings for Graph Neural Networks. CoRR (2022)
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging 41 (4) (2022)
Paul Zhang, Dmitriy Smirnov, Justin Solomon
Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum 41 (8) (2022)
Oded Stein, Jiajin Li, Justin Solomon
A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. 15 (2) (2022)
David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR (2022)
Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja
$k$-Variance: A Clustered Notion of Variance. SIAM J. Math. Data Sci. 4 (3) (2022)
Georgia Shay, Justin Solomon, Oded Stein
A Dataset and Benchmark for Mesh Parameterization. CoRR (2022)
Paul Zhang, Dmitriy Smirnov, Justin Solomon
Wassersplines for Stylized Neural Animation. CoRR (2022)
Liane Makatura, Minghao Guo, Adriana Schulz, Justin Solomon, Wojciech Matusik
Pareto gamuts: exploring optimal designs across varying contexts. ACM Trans. Graph. 40 (4) (2021)
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
Interactive All-Hex Meshing via Cuboid Decomposition. CoRR (2021)
Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon
Improving Approximate Optimal Transport Distances using Quantization. CoRR (2021)
Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon
Sum-of-Squares Geometry Processing. CoRR (2021)
Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. 40 (6) (2021)
Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR (2021)
David R. Palmer, Oded Stein, Justin Solomon
Frame Field Operators. Comput. Graph. Forum 40 (5) (2021)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Polygonal Building Extraction by Frame Field Learning. CVPR (2021)
Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR (2021)
Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR (2021)
Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
Incorporating Unlabeled Data into Distributionally Robust Learning. J. Mach. Learn. Res. 22 (2021)
Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen
Synthesis of Frame Field-Aligned Multi-Laminar Structures. CoRR (2021)
Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
Co-Optimization of Design and Fabrication Plans for Carpentry: Supplemental Material. CoRR (2021)
Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon
Sum-of-squares geometry processing. ACM Trans. Graph. 40 (6) (2021)
Yue Wang, Vitor Campanolo Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRL (2021)
Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon
Improving approximate optimal transport distances using quantization. UAI (2021)
Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev
Large-Scale Wasserstein Gradient Flows. CoRR (2021)
Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
Co-Optimization of Design and Fabrication Plans for Carpentry. CoRR (2021)
Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien
k-Mixup Regularization for Deep Learning via Optimal Transport. CoRR (2021)
Carlotta Giannelli, Lin Lu, Justin Solomon
Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020). Comput. Aided Geom. Des. 84 (2021)
Yue Wang, Justin Solomon
Object DGCNN: 3D Object Detection using Dynamic Graphs. CoRR (2021)
Oded Stein, Jiajin Li, Justin Solomon
A Splitting Scheme for Flip-Free Distortion Energies. CoRR (2021)
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
Volumetric Parameterization of the Placenta to a Flattened Template. CoRR (2021)
Dmitriy Smirnov, Justin Solomon
HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. 40 (4) (2021)
Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR (2021)
Yu Wang, Justin Solomon
Fast quasi-harmonic weights for geometric data interpolation. ACM Trans. Graph. 40 (4) (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
MarioNette: Self-Supervised Sprite Learning. CoRR (2021)
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR (2021)
David R. Palmer, Oded Stein, Justin Solomon
Frame Field Operators. CoRR (2021)
Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR (2020)
Daryl R. DeFord, Moon Duchin, Justin Solomon
A Computational Approach to Measuring Vote Elasticity and Competitiveness. CoRR (2020)
David R. Palmer, David Bommes, Justin Solomon
Algebraic Representations for Volumetric Frame Fields. ACM Trans. Graph. 39 (2) (2020)
Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon
Octahedral Frames for Feature-Aligned Cross-Fields. CoRR (2020)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Regularized Building Segmentation by Frame Field Learning. IGARSS (2020)
Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon
Continuous Regularized Wasserstein Barycenters. CoRR (2020)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions Using Distance Fields. CVPR (2020)
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
Pillar-based Object Detection for Autonomous Driving. CoRR (2020)
Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu
Geometry of Graph Partitions via Optimal Transport. SIAM J. Sci. Comput. 42 (5) (2020)
Zoë Marschner, David R. Palmer, Paul Zhang, Justin Solomon
Hexahedral Mesh Repair via Sum-of-Squares Relaxation. Comput. Graph. Forum 39 (5) (2020)
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
Polygonal Building Segmentation by Frame Field Learning. CoRR (2020)
Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja
k-Variance: A Clustered Notion of Variance. CoRR (2020)
Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon
Model Fusion with Kullback-Leibler Divergence. CoRR (2020)
Amariah Becker, Justin Solomon
Redistricting Algorithms. CoRR (2020)
Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon
Octahedral Frames for Feature-Aligned Cross Fields. ACM Trans. Graph. 39 (3) (2020)
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
Pillar-Based Object Detection for Autonomous Driving. ECCV (22) (2020)
Paul Zhang, Daryl R. DeFord, Justin Solomon
Medial Axis Isoperimetric Profiles. CoRR (2020)
Paul Zhang, Daryl R. DeFord, Justin Solomon
Medial Axis Isoperimetric Profiles. Comput. Graph. Forum 39 (5) (2020)
Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon
Model Fusion with Kullback-Leibler Divergence. ICML (2020)
Lorenzo Najt, Daryl R. DeFord, Justin Solomon
Complexity and Geometry of Sampling Connected Graph Partitions. CoRR (2019)
Mikhail Bessmeltsev, Justin Solomon
Vectorization of Line Drawings via Polyvector Fields. ACM Trans. Graph. 38 (1) (2019)
Danielle Ezuz, Justin Solomon, Mirela Ben-Chen
Reversible Harmonic Maps between Discrete Surfaces. ACM Trans. Graph. 38 (2) (2019)
Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu
Geometry of Graph Partitions via Optimal Transport. CoRR (2019)
Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
Learning Embeddings into Entropic Wasserstein Spaces. CoRR (2019)
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Deep Sketch-Based Modeling of Man-Made Shapes. CoRR (2019)
Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon
Hierarchical Optimal Transport for Document Representation. CoRR (2019)
Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
Incorporating Unlabeled Data into Distributionally Robust Learning. CoRR (2019)
Trevor Henderson, Justin Solomon
Audio Transport: A Generalized Portamento via Optimal Transport. CoRR (2019)
David R. Palmer, David Bommes, Justin Solomon
Algebraic Representations for Volumetric Frame Fields. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Justin Solomon