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ORCIDJustin Solomon 0001
Justin M. Solomon
Person information
- affiliation: MIT, Cambridge, MA, USA
Other persons with the same name
- Justin Solomon 0002 — Duke University, Durham, NC, USA
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2020 – today
- 2024
[j70]David R. Palmer, Albert Chern
, Justin Solomon:
Lifting Directional Fields to Minimal Sections. ACM Trans. Graph. 43(4): 60:1-60:20 (2024)- [j69]Leticia Mattos Da Silva, Oded Stein, Justin Solomon:
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. ACM Trans. Graph. 43(5): 156:1-156:14 (2024) - [c43]Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. ICML 2024 - [c42]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. ICML 2024 - [c41]Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin M. Solomon:
Score Distillation via Reparametrized DDIM. NeurIPS 2024 - [c40]Christopher Scarvelis, Justin M. Solomon:
Nuclear Norm Regularization for Deep Learning. NeurIPS 2024 - [i85]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 abs/2402.16842 (2024) - [i84]David R. Palmer, Albert Chern, Justin Solomon:
Lifting Directional Fields to Minimal Sections. CoRR abs/2405.03853 (2024) - [i83]Christopher Scarvelis, Justin Solomon:
Nuclear Norm Regularization for Deep Learning. CoRR abs/2405.14544 (2024) - [i82]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 abs/2405.15891 (2024) - [i81]Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein:
Robust Biharmonic Skinning Using Geometric Fields. CoRR abs/2406.00238 (2024) - [i80]Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon:
Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR abs/2406.04047 (2024) - [i79]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 abs/2407.00066 (2024) - [i78]Leticia Mattos Da Silva, Silvia Sellán, Justin Solomon:
Through the Looking Glass: Mirror Schrödinger Bridges. CoRR abs/2410.07003 (2024) - 2023
- [j68]Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j67]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) - [j66]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): 25:1-25:20 (2023) - [j65]Yu Wang, Minghao Guo, Justin Solomon:
Variational quasi-harmonic maps for computing diffeomorphisms. ACM Trans. Graph. 42(4): 130:1-130:26 (2023) - [j64]Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon:
Variational Barycentric Coordinates. ACM Trans. Graph. 42(6): 255:1-255:16 (2023) - [c39]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 - [c38]Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. ICLR 2023 - [c37]Christopher Scarvelis, Justin Solomon:
Riemannian Metric Learning via Optimal Transport. ICLR 2023 - [c36]Lingxiao Li, Samuel Hurault, Justin M. Solomon:
Self-Consistent Velocity Matching of Probability Flows. NeurIPS 2023 - [c35]Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen:
A Convex Optimization Framework for Regularized Geodesic Distances. SIGGRAPH (Conference Paper Track) 2023: 2:1-2:11 - [c34]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: 40:1-40:9 - [c33]Paul Zhang, Zoë Marschner, Justin Solomon, Rasmus Tamstorf:
Sum-of-Squares Collision Detection for Curved Shapes and Paths. SIGGRAPH (Conference Paper Track) 2023: 76:1-76:11 - [i77]Lingxiao Li, Samuel Hurault, Justin Solomon:
Self-Consistent Velocity Matching of Probability Flows. CoRR abs/2301.13737 (2023) - [i76]Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon:
Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR abs/2303.14537 (2023) - [i75]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 abs/2305.03846 (2023) - [i74]Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen:
A Convex Optimization Framework for Regularized Geodesic Distances. CoRR abs/2305.13101 (2023) - [i73]Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin:
Large Language Model Routing with Benchmark Datasets. CoRR abs/2309.15789 (2023) - [i72]Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon:
GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR abs/2310.00672 (2023) - [i71]Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon:
Variational Barycentric Coordinates. CoRR abs/2310.03861 (2023) - [i70]Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon:
Closed-Form Diffusion Models. CoRR abs/2310.12395 (2023) - [i69]Leticia Mattos Da Silva, Oded Stein, Justin Solomon:
A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. CoRR abs/2312.00327 (2023) - 2022
- [j63]Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum 41(8): 31-41 (2022) - [j62]Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. 15(2): 925-959 (2022) - [j61]Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
$k$-Variance: A Clustered Notion of Variance. SIAM J. Math. Data Sci. 4(3): 957-978 (2022) - [j60]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): 925-936 (2022) - [j59]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): 32:1-32:13 (2022) - [j58]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): 170:1-170:20 (2022) - [c32]Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon:
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL 2022: 1277-1288 - [c31]David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR 2022: 18644-18654 - [c30]Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin M. Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. ICML 2022: 20106-20124 - [i68]Paul Zhang, Dmitriy Smirnov, Justin Solomon:
Wassersplines for Stylized Neural Animation. CoRR abs/2201.11940 (2022) - [i67]Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Learning Proximal Operators to Discover Multiple Optima. CoRR abs/2201.11945 (2022) - [i66]Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon:
Rewiring with Positional Encodings for Graph Neural Networks. CoRR abs/2201.12674 (2022) - [i65]Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon:
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR abs/2202.01671 (2022) - [i64]S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon:
Symmetric Volume Maps. CoRR abs/2202.02568 (2022) - [i63]Christopher Scarvelis, Justin Solomon:
Riemannian Metric Learning via Optimal Transport. CoRR abs/2205.09244 (2022) - [i62]Georgia Shay, Justin Solomon, Oded Stein:
A Dataset and Benchmark for Mesh Parameterization. CoRR abs/2208.01772 (2022) - [i61]Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin:
Outlier-Robust Group Inference via Gradient Space Clustering. CoRR abs/2210.06759 (2022) - [i60]Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon:
Sampling with Mollified Interaction Energy Descent. CoRR abs/2210.13400 (2022) - 2021
- [j57]Carlotta Giannelli, Lin Lu, Justin Solomon:
Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020). Comput. Aided Geom. Des. 84: 101955 (2021) - [j56]David R. Palmer, Oded Stein, Justin Solomon:
Frame Field Operators. Comput. Graph. Forum 40(5): 231-245 (2021) - [j55]Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. J. Mach. Learn. Res. 22: 56:1-56:46 (2021) - [j54]Yu Wang, Justin Solomon:
Fast quasi-harmonic weights for geometric data interpolation. ACM Trans. Graph. 40(4): 73:1-73:15 (2021) - [j53]Dmitriy Smirnov, Justin Solomon:
HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. 40(4): 166:1-166:11 (2021) - [j52]Liane Makatura, Minghao Guo, Adriana Schulz, Justin Solomon, Wojciech Matusik:
Pareto gamuts: exploring optimal designs across varying contexts. ACM Trans. Graph. 40(4): 171:1-171:17 (2021) - [j51]Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon:
Sum-of-squares geometry processing. ACM Trans. Graph. 40(6): 253:1-253:13 (2021) - [j50]Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. 40(6): 256:1-256:17 (2021) - [c29]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. CoRL 2021: 180-191 - [c28]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Extraction by Frame Field Learning. CVPR 2021: 5891-5900 - [c27]Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR 2021 - [c26]Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR 2021 - [c25]Debarghya Mukherjee, Aritra Guha, Justin M. Solomon, Yuekai Sun, Mikhail Yurochkin:
Outlier-Robust Optimal Transport. ICML 2021: 7850-7860 - [c24]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - [c23]Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. NeurIPS 2021: 14593-14605 - [c22]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. NeurIPS 2021: 15243-15256 - [c21]Yue Wang, Justin M. Solomon:
Object DGCNN: 3D Object Detection using Dynamic Graphs. NeurIPS 2021: 20745-20758 - [c20]Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving approximate optimal transport distances using quantization. UAI 2021: 290-300 - [i59]Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev:
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR abs/2102.01752 (2021) - [i58]Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon:
Improving Approximate Optimal Transport Distances using Quantization. CoRR abs/2102.12731 (2021) - [i57]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 abs/2104.05550 (2021) - [i56]Dmitriy Smirnov, Justin M. Solomon:
HodgeNet: Learning Spectral Geometry on Triangle Meshes. CoRR abs/2104.12826 (2021) - [i55]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021) - [i54]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. CoRR abs/2106.00736 (2021) - [i53]Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev:
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR abs/2106.01954 (2021) - [i52]Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien:
k-Mixup Regularization for Deep Learning via Optimal Transport. CoRR abs/2106.02933 (2021) - [i51]David R. Palmer, Oded Stein, Justin Solomon:
Frame Field Operators. CoRR abs/2106.14360 (2021) - [i50]Oded Stein, Jiajin Li, Justin Solomon:
A Splitting Scheme for Flip-Free Distortion Energies. CoRR abs/2107.05200 (2021) - [i49]Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz:
Co-Optimization of Design and Fabrication Plans for Carpentry. CoRR abs/2107.12265 (2021) - [i48]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 abs/2107.14745 (2021) - [i47]Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon:
Interactive All-Hex Meshing via Cuboid Decomposition. CoRR abs/2109.06279 (2021) - [i46]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 abs/2110.06922 (2021) - [i45]Yue Wang, Justin Solomon:
Object DGCNN: 3D Object Detection using Dynamic Graphs. CoRR abs/2110.06923 (2021) - [i44]Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon:
Sum-of-Squares Geometry Processing. CoRR abs/2110.08451 (2021) - [i43]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 abs/2111.07900 (2021) - [i42]David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin M. Solomon:
DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CoRR abs/2111.09383 (2021) - 2020
- [j49]Paul Zhang, Daryl R. DeFord, Justin Solomon:
Medial Axis Isoperimetric Profiles. Comput. Graph. Forum 39(5): 1-13 (2020) - [j48]Zoë Marschner, David R. Palmer, Paul Zhang, Justin Solomon:
Hexahedral Mesh Repair via Sum-of-Squares Relaxation. Comput. Graph. Forum 39(5): 133-147 (2020) - [j47]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): A3340-A3366 (2020) - [j46]David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. ACM Trans. Graph. 39(2): 16:1-16:17 (2020) - [j45]Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon:
Octahedral Frames for Feature-Aligned Cross Fields. ACM Trans. Graph. 39(3): 25:1-25:13 (2020) - [c19]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c18]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: 18-34 - [c17]Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon:
Model Fusion with Kullback-Leibler Divergence. ICML 2020: 2038-2047 - [c16]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Regularized Building Segmentation by Frame Field Learning. IGARSS 2020: 1805-1808 - [c15]Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin M. Solomon:
Continuous Regularized Wasserstein Barycenters. NeurIPS 2020 - [i41]Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka:
Polygonal Building Segmentation by Frame Field Learning. CoRR abs/2004.14875 (2020) - [i40]Daryl R. DeFord, Moon Duchin, Justin Solomon:
A Computational Approach to Measuring Vote Elasticity and Competitiveness. CoRR abs/2005.12731 (2020) - [i39]Paul Zhang, Daryl R. DeFord, Justin Solomon:
Medial Axis Isoperimetric Profiles. CoRR abs/2007.01428 (2020) - [i38]Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon:
Model Fusion with Kullback-Leibler Divergence. CoRR abs/2007.06168 (2020) - [i37]Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon:
Octahedral Frames for Feature-Aligned Cross-Fields. CoRR abs/2007.09740 (2020) - [i36]Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon:
Pillar-based Object Detection for Autonomous Driving. CoRR abs/2007.10323 (2020) - [i35]Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon:
Continuous Regularized Wasserstein Barycenters. CoRR abs/2008.12534 (2020) - [i34]Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon:
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR abs/2009.11859 (2020) - [i33]Amariah Becker, Justin Solomon:
Redistricting Algorithms. CoRR abs/2011.09504 (2020) - [i32]Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja:
k-Variance: A Clustered Notion of Variance. CoRR abs/2012.06958 (2020)
2010 – 2019
- 2019
- [j44]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation On Product Manifolds. Comput. Graph. Forum 38(1): 678-689 (2019) - [j43]Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon:
Total Variation Isoperimetric Profiles. SIAM J. Appl. Algebra Geom. 3(4): 585-613 (2019) - [j42]Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon:
Steklov Spectral Geometry for Extrinsic Shape Analysis. ACM Trans. Graph. 38(1): 7:1-7:21 (2019) - [j41]Mikhail Bessmeltsev, Justin Solomon:
Vectorization of Line Drawings via Polyvector Fields. ACM Trans. Graph. 38(1): 9:1-9:12 (2019) - [j40]Danielle Ezuz, Justin Solomon, Mirela Ben-Chen:
Reversible Harmonic Maps between Discrete Surfaces. ACM Trans. Graph. 38(2): 15:1-15:12 (2019) - [j39]Justin Solomon, Amir Vaxman:
Optimal transport-based polar interpolation of directional fields. ACM Trans. Graph. 38(4): 88:1-88:13 (2019) - [j38]Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon:
Dynamic Graph CNN for Learning on Point Clouds. ACM Trans. Graph. 38(5): 146:1-146:12 (2019) - [c14]Yue Wang, Justin Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. ICCV 2019: 3522-3531 - [c13]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) 2019 - [c12]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. MICCAI (4) 2019: 39-47 - [c11]Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon:
Hierarchical Optimal Transport for Document Representation. NeurIPS 2019: 1599-1609 - [c10]Yue Wang, Justin M. Solomon:
PRNet: Self-Supervised Learning for Partial-to-Partial Registration. NeurIPS 2019: 8812-8824 - [c9]Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin M. Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. NeurIPS 2019: 13612-13622 - [i31]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. CoRR abs/1903.05044 (2019) - [i30]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i29]Yue Wang, Justin M. Solomon:
Deep Closest Point: Learning Representations for Point Cloud Registration. CoRR abs/1905.03304 (2019) - [i28]Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon:
Learning Embeddings into Entropic Wasserstein Spaces. CoRR abs/1905.03329 (2019) - [i27]Trevor Henderson, Justin Solomon:
Audio Transport: A Generalized Portamento via Optimal Transport. CoRR abs/1906.06763 (2019) - [i26]Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon:
Hierarchical Optimal Transport for Document Representation. CoRR abs/1906.10827 (2019) - [i25]Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon:
Deep Sketch-Based Modeling of Man-Made Shapes. CoRR abs/1906.12337 (2019) - [i24]David R. Palmer, David Bommes, Justin Solomon:
Algebraic Representations for Volumetric Frame Fields. CoRR abs/1908.05411 (2019) - [i23]Lorenzo Najt, Daryl R. DeFord, Justin Solomon:
Complexity and Geometry of Sampling Connected Graph Partitions. CoRR abs/1908.08881 (2019) - [i22]Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu:
Geometry of Graph Partitions via Optimal Transport. CoRR abs/1910.09618 (2019) - [i21]Yue Wang, Justin M. Solomon:
PRNet: Self-Supervised Learning for Partial-to-Partial Registration. CoRR abs/1910.12240 (2019) - [i20]Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin:
Alleviating Label Switching with Optimal Transport. CoRR abs/1911.02053 (2019) - [i19]Daryl R. DeFord, Moon Duchin, Justin Solomon:
Recombination: A family of Markov chains for redistricting. CoRR abs/1911.05725 (2019) - [i18]Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon:
Incorporating Unlabeled Data into Distributionally Robust Learning. CoRR abs/1912.07729 (2019) - 2018
- [j37]Anne Gehre, Michael M. Bronstein, Leif Kobbelt, Justin Solomon:
Interactive Curve Constrained Functional Maps. Comput. Graph. Forum 37(5): 1-12 (2018) - [j36]Larry Wang, Anne Gehre, Michael M. Bronstein, Justin Solomon:
Kernel Functional Maps. Comput. Graph. Forum 37(5): 27-36 (2018) - [j35]Montacer Essid, Justin Solomon:
Quadratically Regularized Optimal Transport on Graphs. SIAM J. Sci. Comput. 40(4): A1961-A1986 (2018) - [j34]Heng Liu, Paul Zhang, Edward Chien, Justin Solomon, David Bommes:
Singularity-constrained octahedral fields for hexahedral meshing. ACM Trans. Graph. 37(4): 93 (2018) - [j33]Adriana Schulz, Harrison Wang, Eitan Grinspun, Justin Solomon, Wojciech Matusik:
Interactive exploration of design trade-offs. ACM Trans. Graph. 37(4): 131 (2018) - [j32]Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, Alla Sheffer:
OptCuts: joint optimization of surface cuts and parameterization. ACM Trans. Graph. 37(6): 247 (2018) - [j31]Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon:
Dynamical optimal transport on discrete surfaces. ACM Trans. Graph. 37(6): 250 (2018) - [c8]Sebastian Claici, Edward Chien, Justin Solomon:
Stochastic Wasserstein Barycenters. ICML 2018: 998-1007 - [c7]Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps on Product Manifolds. SGP (Posters) 2018: 9-10 - [i17]Mikhail Bessmeltsev, Justin Solomon:
Vectorization of Line Drawings via PolyVector Fields. CoRR abs/1801.01922 (2018) - [i16]Danielle Ezuz, Justin Solomon, Mirela Ben-Chen:
Reversible Harmonic Maps between Discrete Surfaces. CoRR abs/1801.02453 (2018) - [i15]Justin Solomon:
Optimal Transport on Discrete Domains. CoRR abs/1801.07745 (2018) - [i14]Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon:
Dynamic Graph CNN for Learning on Point Clouds. CoRR abs/1801.07829 (2018) - [i13]Sebastian Claici, Edward Chien, Justin Solomon:
Stochastic Wasserstein Barycenters. CoRR abs/1802.05757 (2018) - [i12]Richard Barnes, Justin Solomon:
Gerrymandering and Compactness: Implementation Flexibility and Abuse. CoRR abs/1803.02857 (2018) - [i11]Sebastian Claici, Justin Solomon:
Wasserstein Coresets for Lipschitz Costs. CoRR abs/1805.07412 (2018) - [i10]Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon:
Dynamical Optimal Transport on Discrete Surfaces. CoRR abs/1809.07083 (2018) - [i9]Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon:
Total Variation Isoperimetric Profiles. CoRR abs/1809.07943 (2018) - [i8]Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon:
Functional Maps Representation on Product Manifolds. CoRR abs/1809.10940 (2018) - 2017
- [j30]Sema Berkiten, Maciej Halber, Justin Solomon, Chongyang Ma, Hao Li, Szymon Rusinkiewicz:
Learning Detail Transfer based on Geometric Features. Comput. Graph. Forum 36(2): 361-373 (2017) - [j29]Sebastian Claici, Mikhail Bessmeltsev, Scott Schaefer, Justin Solomon:
Isometry-Aware Preconditioning for Mesh Parameterization. Comput. Graph. Forum 36(5): 37-47 (2017) - [j28]Danielle Ezuz, Justin Solomon, Vladimir G. Kim, Mirela Ben-Chen:
GWCNN: A Metric Alignment Layer for Deep Shape Analysis. Comput. Graph. Forum 36(5): 49-57 (2017) - [j27]Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov:
Functional Characterization of Intrinsic and Extrinsic Geometry. ACM Trans. Graph. 36(2): 14:1-14:17 (2017) - [j26]Justin Solomon, Amir Vaxman, David Bommes:
Boundary Element Octahedral Fields in Volumes. ACM Trans. Graph. 36(3): 28:1-28:16 (2017) - [c6]Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka:
Parallel Streaming Wasserstein Barycenters. NIPS 2017: 2647-2658 - [i7]Montacer Essid, Justin Solomon:
Quadratically-Regularized Optimal Transport on Graphs. CoRR abs/1704.08200 (2017) - [i6]Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka:
Parallel Streaming Wasserstein Barycenters. CoRR abs/1705.07443 (2017) - [i5]Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon:
Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis. CoRR abs/1707.07070 (2017) - 2016
- [j25]Michael Tao, Justin Solomon, Adrian Butscher:
Near-Isometric Level Set Tracking. Comput. Graph. Forum 35(5): 65-77 (2016) - [j24]Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra:
Entropic metric alignment for correspondence problems. ACM Trans. Graph. 35(4): 72:1-72:13 (2016) - [c5]Gabriel Peyré, Marco Cuturi, Justin Solomon:
Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML 2016: 2664-2672 - [i4]Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Continuous-Flow Graph Transportation Distances. CoRR abs/1603.06927 (2016) - [i3]Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon:
Quantum Optimal Transport for Tensor Field Processing. CoRR abs/1612.08731 (2016) - 2015
- [b2]Justin Solomon:
Numerical Algorithms - Methods for Computer Vision, Machine Learning, and Graphics. CRC Press 2015, ISBN 978-1-482-25188-3, pp. I-XX, 1-379 - [b1]Justin Solomon:
Transportation techniques for geometric data processing. Stanford University, USA, 2015 - [j23]Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas:
Convolutional wasserstein distances: efficient optimal transportation on geometric domains. ACM Trans. Graph. 34(4): 66:1-66:11 (2015) - [c4]Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha:
Exponential Integration for Hamiltonian Monte Carlo. ICML 2015: 1142-1151 - [i2]Justin Solomon:
PDE Approaches to Graph Analysis. CoRR abs/1505.00185 (2015) - 2014
- [j22]Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Earth mover's distances on discrete surfaces. ACM Trans. Graph. 33(4): 67:1-67:12 (2014) - [j21]Bo Zhu, Ed Quigley, Matthew Cong, Justin Solomon, Ronald Fedkiw:
Codimensional surface tension flow on simplicial complexes. ACM Trans. Graph. 33(4): 111:1-111:11 (2014) - [c3]Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher:
Wasserstein Propagation for Semi-Supervised Learning. ICML 2014: 306-314 - [i1]Justin Solomon, Keenan Crane, Adrian Butscher, Chris Wojtan:
A General Framework for Bilateral and Mean Shift Filtering. CoRR abs/1405.4734 (2014) - 2013
- [j20]Justin Solomon, Leonidas J. Guibas, Adrian Butscher:
Dirichlet Energy for Analysis and Synthesis of Soft Maps. Comput. Graph. Forum 32(5): 197-206 (2013) - 2012
- [j19]Justin Solomon, Etienne Vouga, Max Wardetzky, Eitan Grinspun:
Flexible Developable Surfaces. Comput. Graph. Forum 31(5): 1567-1576 (2012) - [j18]Justin Solomon, Andy Nguyen, Adrian Butscher, Mirela Ben-Chen, Leonidas J. Guibas:
Soft Maps Between Surfaces. Comput. Graph. Forum 31(5): 1617-1626 (2012) - [j17]Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, Leonidas J. Guibas:
Functional maps: a flexible representation of maps between shapes. ACM Trans. Graph. 31(4): 30:1-30:11 (2012) - [c2]Antoine Vacavant, Adelaide Albouy-Kissi, Pierre-Yves Menguy, Justin Solomon:
Fast smoothed shock filtering. ICPR 2012: 182-185 - 2011
- [j16]Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas:
Discovery of Intrinsic Primitives on Triangle Meshes. Comput. Graph. Forum 30(2): 365-374 (2011) - [j15]Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas:
As-Killing-As-Possible Vector Fields for Planar Deformation. Comput. Graph. Forum 30(5): 1543-1552 (2011) - 2010
- [j14]Mirela Ben-Chen, Adrian Butscher, Justin Solomon, Leonidas J. Guibas:
On Discrete Killing Vector Fields and Patterns on Surfaces. Comput. Graph. Forum 29(5): 1701-1711 (2010) - [j13]Michael Kass, Justin Solomon:
Smoothed local histogram filters. ACM Trans. Graph. 29(4): 100:1-100:10 (2010)
2000 – 2009
- 2009
- [j12]Justin Solomon:
Introduction. ACM Crossroads 15(3): 2 (2009) - [j11]Justin Solomon:
Introduction. ACM Crossroads 15(4) (2009) - [j10]Justin Solomon:
Introduction: maxed out? ACM Crossroads 16(1): 2 (2009) - [j9]Justin Solomon:
Programmers, Professors, and Parasites: Credit and Co-Authorship in Computer Science. Sci. Eng. Ethics 15(4): 467-489 (2009) - 2008
- [j8]Justin Solomon:
Introduction. ACM Crossroads 14(3): 2 (2008) - [j7]Justin Solomon:
Introduction. ACM Crossroads 14(4): 2 (2008) - [j6]Justin Solomon:
Introduction. ACM Crossroads 15(1): 2 (2008) - [j5]Justin Solomon:
Introduction. ACM Crossroads 15(2): 2 (2008) - 2007
- [j4]Justin Solomon:
SIGGRAPH 2006: exploring the art and science of computer graphics. ACM Crossroads 13(3): 3 (2007) - [j3]Justin Solomon:
The science of shape: revolutionizing graphics and vision with the third dimension. ACM Crossroads 13(4): 10 (2007) - [j2]Justin Solomon:
Introduction. ACM Crossroads 14(2) (2007) - [j1]Justin Solomon:
Putting the science into computer science: treating introductory computer science as the study of algorithms. ACM SIGCSE Bull. 39(2): 46-49 (2007) - [c1]Justin Solomon:
Fast and accurate estimation of principal curvatures and directions for morphable models. SIGGRAPH Posters 2007: 22
Coauthor Index
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