Justin Solomon

193 papers A* 19A 1B 1C 1Misc 1Journal 158Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers. CoRR Behrooz Zarebavami, Ahmed H. Mahmoud, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, Justin Solomon
2026	J	`jnl`	Iskra: A System for Inverse Geometry Processing. CoRR Ana Dodik, Ahmed H. Mahmoud, Justin Solomon
2026	J	`jnl`	Robust Biharmonic Skinning Using Geometric Fields. ACM Trans. Graph. Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein
2025	J	`jnl`	Closed-Form Diffusion Models. Trans. Mach. Learn. Res. Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
2025	A*	`conf`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. ICML Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2025	J	`jnl`	Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. Trans. Mach. Learn. Res. Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2025	A*	`conf`	FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations. UIST Ticha Sethapakdi, Maxine Perroni-Scharf, Mingming Li, Jiaji Li, Justin Solomon, Arvind Satyanarayan, Stefanie Mueller
2025	J	`jnl`	Locality in Image Diffusion Models Emerges from Data Statistics. CoRR Artem Lukoianov, Chenyang Yuan, Justin Solomon, Vincent Sitzmann
2025	J	`jnl`	Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations. CoRR Ahmed H. Mahmoud, Jonathan Ragan-Kelley, Justin Solomon
2025	A*	`conf`	Low-Rank Adaptation of Neural Fields. SIGGRAPH Asia Anh Truong, Ahmed H. Mahmoud, Mina Konakovic-Lukovic, Justin Solomon
2025	J	`jnl`	Low-Rank Adaptation of Neural Fields. CoRR Anh Truong, Ahmed H. Mahmoud, Mina Konakovic-Lukovic, Justin Solomon
2025	J	`jnl`	Meschers: Geometry Processing of Impossible Objects. ACM Trans. Graph. Ana Dodik, Isabella Yu, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Vincent Sitzmann, Justin Solomon
2025	J	`jnl`	Sensitivity Analysis for Diffusion Models. CoRR Christopher Scarvelis, Justin Solomon
2025	—	`conf`	Variational Elastodynamic Simulation. SIGGRAPH (Conference Paper Track) Leticia Mattos Da Silva, Silvia Sellán, Natalia Pacheco-Tallaj, Justin Solomon
2024	J	`jnl`	A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. ACM Trans. Graph. Leticia Mattos Da Silva, Oded Stein, Justin Solomon
2024	A*	`conf`	Asymmetry in Low-Rank Adapters of Foundation Models. ICML Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Asymmetry in Low-Rank Adapters of Foundation Models. CoRR Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2024	J	`jnl`	Lifting Directional Fields to Minimal Sections. CoRR David R. Palmer, Albert Chern, Justin Solomon
2024	J	`jnl`	Lifting Directional Fields to Minimal Sections. ACM Trans. Graph. David R. Palmer, Albert Chern, Justin Solomon
2024	J	`jnl`	Nuclear Norm Regularization for Deep Learning. CoRR Christopher Scarvelis, Justin Solomon
2024	J	`jnl`	Robust Biharmonic Skinning Using Geometric Fields. CoRR Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein
2024	J	`jnl`	Score Distillation via Reparametrized DDIM. CoRR Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon
2024	A*	`conf`	Slicing Mutual Information Generalization Bounds for Neural Networks. ICML Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
2024	J	`jnl`	Slicing Mutual Information Generalization Bounds for Neural Networks. CoRR Kimia Nadjahi, Kristjan H. Greenewald, Rickard Brüel Gabrielsson, Justin Solomon
2024	J	`jnl`	Through the Looking Glass: Mirror Schrödinger Bridges. CoRR Leticia Mattos Da Silva, Silvia Sellán, Justin Solomon
2023	—	`conf`	A Convex Optimization Framework for Regularized Geodesic Distances. SIGGRAPH (Conference Paper Track) Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen
2023	J	`jnl`	A Convex Optimization Framework for Regularized Geodesic Distances. CoRR Michal Edelstein, Nestor Guillen, Justin Solomon, Mirela Ben-Chen
2023	J	`jnl`	A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains. CoRR Leticia Mattos Da Silva, Oded Stein, Justin Solomon
2023	J	`jnl`	Closed-Form Diffusion Models. CoRR Christopher Scarvelis, Haitz Sáez de Ocáriz Borde, Justin Solomon
2023	—	`conf`	Data-Free Learning of Reduced-Order Kinematics. SIGGRAPH (Conference Paper Track) Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon
2023	J	`jnl`	Data-Free Learning of Reduced-Order Kinematics. CoRR Nicholas Sharp, Cristian Romero, Alec Jacobson, Etienne Vouga, Paul G. Kry, David I. W. Levin, Justin Solomon
2023	J	`jnl`	Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. CoRR Rickard Brüel Gabrielsson, Tongzhou Wang, Manel Baradad, Justin Solomon
2023	J	`jnl`	GeRA: Label-Efficient Geometrically Regularized Alignment. CoRR Dustin Klebe, Tal Shnitzer, Mikhail Yurochkin, Leonid Karlinsky, Justin Solomon
2023	J	`jnl`	Large Language Model Routing with Benchmark Datasets. CoRR Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin
2023	A*	`conf`	Learning Proximal Operators to Discover Multiple Optima. ICLR Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2023	J	`jnl`	Rewiring with Positional Encodings for Graph Neural Networks. Trans. Mach. Learn. Res. Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
2023	A*	`conf`	Riemannian Metric Learning via Optimal Transport. ICLR Christopher Scarvelis, Justin Solomon
2023	A*	`conf`	Sampling with Mollified Interaction Energy Descent. ICLR Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon
2023	J	`jnl`	Self-Consistent Velocity Matching of Probability Flows. CoRR Lingxiao Li, Samuel Hurault, Justin Solomon
2023	—	`conf`	Sum-of-Squares Collision Detection for Curved Shapes and Paths. SIGGRAPH (Conference Paper Track) Paul Zhang, Zoë Marschner, Justin Solomon, Rasmus Tamstorf
2023	J	`jnl`	Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon
2023	J	`jnl`	Variational Barycentric Coordinates. CoRR Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
2023	J	`jnl`	Variational Barycentric Coordinates. ACM Trans. Graph. Ana Dodik, Oded Stein, Vincent Sitzmann, Justin Solomon
2023	J	`jnl`	Variational quasi-harmonic maps for computing diffeomorphisms. ACM Trans. Graph. Yu Wang, Minghao Guo, Justin Solomon
2023	J	`jnl`	k-Mixup Regularization for Deep Learning via Optimal Transport. Trans. Mach. Learn. Res. Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien
2022	J	`jnl`	$k$-Variance: A Clustered Notion of Variance. SIAM J. Math. Data Sci. Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja
2022	J	`jnl`	A Dataset and Benchmark for Mesh Parameterization. CoRR Georgia Shay, Justin Solomon, Oded Stein
2022	J	`jnl`	A Splitting Scheme for Flip-Free Distortion Energies. SIAM J. Imaging Sci. Oded Stein, Jiajin Li, Justin Solomon
2022	J	`jnl`	Co-Optimization of Design and Fabrication Plans for Carpentry. ACM Trans. Graph. Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
2022	A*	`conf`	DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. CVPR David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon
2022	J	`jnl`	Learning Proximal Operators to Discover Multiple Optima. CoRR Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
2022	J	`jnl`	Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. CoRR Tal Shnitzer, Mikhail Yurochkin, Kristjan H. Greenewald, Justin Solomon
2022	J	`jnl`	Outlier-Robust Group Inference via Gradient Space Clustering. CoRR Yuchen Zeng, Kristjan H. Greenewald, Kangwook Lee, Justin Solomon, Mikhail Yurochkin
2022	J	`jnl`	Rewiring with Positional Encodings for Graph Neural Networks. CoRR Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
2022	J	`jnl`	Riemannian Metric Learning via Optimal Transport. CoRR Christopher Scarvelis, Justin Solomon
2022	J	`jnl`	Sampling with Mollified Interaction Energy Descent. CoRR Lingxiao Li, Qiang Liu, Anna Korba, Mikhail Yurochkin, Justin Solomon
2022	J	`jnl`	Synthesis of Frame Field-Aligned Multi-Laminar Structures. ACM Trans. Graph. Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Tuan Nguyen Trung, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen
2022	J	`jnl`	Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2022	J	`jnl`	Wassersplines for Neural Vector Field-Controlled Animation. Comput. Graph. Forum Paul Zhang, Dmitriy Smirnov, Justin Solomon
2022	J	`jnl`	Wassersplines for Stylized Neural Animation. CoRR Paul Zhang, Dmitriy Smirnov, Justin Solomon
2021	J	`jnl`	A Splitting Scheme for Flip-Free Distortion Energies. CoRR Oded Stein, Jiajin Li, Justin Solomon
2021	J	`jnl`	Co-Optimization of Design and Fabrication Plans for Carpentry. CoRR Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
2021	J	`jnl`	Co-Optimization of Design and Fabrication Plans for Carpentry: Supplemental Material. CoRR Haisen Zhao, Max Willsey, Amy Zhu, Chandrakana Nandi, Zachary Tatlock, Justin Solomon, Adriana Schulz
2021	A*	`conf`	Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. ICLR Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
2021	J	`jnl`	Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. CoRR Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
2021	Misc	`conf`	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRL Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
2021	J	`jnl`	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
2021	J	`jnl`	Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. CoRR Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev
2021	J	`jnl`	Fast quasi-harmonic weights for geometric data interpolation. ACM Trans. Graph. Yu Wang, Justin Solomon
2021	J	`jnl`	Frame Field Operators. Comput. Graph. Forum David R. Palmer, Oded Stein, Justin Solomon
2021	J	`jnl`	Frame Field Operators. CoRR David R. Palmer, Oded Stein, Justin Solomon
2021	J	`jnl`	HodgeNet: learning spectral geometry on triangle meshes. ACM Trans. Graph. Dmitriy Smirnov, Justin Solomon
2021	J	`jnl`	Improving Approximate Optimal Transport Distances using Quantization. CoRR Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon
2021	A	`conf`	Improving approximate optimal transport distances using quantization. UAI Gaspard Beugnot, Aude Genevay, Kristjan H. Greenewald, Justin Solomon
2021	J	`jnl`	Incorporating Unlabeled Data into Distributionally Robust Learning. J. Mach. Learn. Res. Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
2021	J	`jnl`	Interactive All-Hex Meshing via Cuboid Decomposition. CoRR Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
2021	J	`jnl`	Interactive all-hex meshing via cuboid decomposition. ACM Trans. Graph. Lingxiao Li, Paul Zhang, Dmitriy Smirnov, S. Mazdak Abulnaga, Justin Solomon
2021	J	`jnl`	Large-Scale Wasserstein Gradient Flows. CoRR Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev
2021	A*	`conf`	Learning Manifold Patch-Based Representations of Man-Made Shapes. ICLR Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
2021	J	`jnl`	MarioNette: Self-Supervised Sprite Learning. CoRR Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
2021	J	`jnl`	Object DGCNN: 3D Object Detection using Dynamic Graphs. CoRR Yue Wang, Justin Solomon
2021	J	`jnl`	Pareto gamuts: exploring optimal designs across varying contexts. ACM Trans. Graph. Liane Makatura, Minghao Guo, Adriana Schulz, Justin Solomon, Wojciech Matusik
2021	A*	`conf`	Polygonal Building Extraction by Frame Field Learning. CVPR Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2021	J	`jnl`	Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020). Comput. Aided Geom. Des. Carlotta Giannelli, Lin Lu, Justin Solomon
2021	J	`jnl`	Sum-of-Squares Geometry Processing. CoRR Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon
2021	J	`jnl`	Sum-of-squares geometry processing. ACM Trans. Graph. Zoë Marschner, Paul Zhang, David R. Palmer, Justin Solomon
2021	J	`jnl`	Synthesis of Frame Field-Aligned Multi-Laminar Structures. CoRR Florian Cyril Stutz, Tim Felle Olsen, Jeroen Peter Groen, Niels Aage, Ole Sigmund, Justin Solomon, Jakob Andreas Bærentzen
2021	J	`jnl`	Volumetric Parameterization of the Placenta to a Flattened Template. CoRR S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2021	J	`jnl`	k-Mixup Regularization for Deep Learning via Optimal Transport. CoRR Kristjan H. Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien
2020	J	`jnl`	A Computational Approach to Measuring Vote Elasticity and Competitiveness. CoRR Daryl R. DeFord, Moon Duchin, Justin Solomon
2020	J	`jnl`	Algebraic Representations for Volumetric Frame Fields. ACM Trans. Graph. David R. Palmer, David Bommes, Justin Solomon
2020	J	`jnl`	Continuous Regularized Wasserstein Barycenters. CoRR Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon
2020	A*	`conf`	Deep Parametric Shape Predictions Using Distance Fields. CVPR Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2020	J	`jnl`	Geometry of Graph Partitions via Optimal Transport. SIAM J. Sci. Comput. Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu
2020	J	`jnl`	Hexahedral Mesh Repair via Sum-of-Squares Relaxation. Comput. Graph. Forum Zoë Marschner, David R. Palmer, Paul Zhang, Justin Solomon
2020	J	`jnl`	Medial Axis Isoperimetric Profiles. Comput. Graph. Forum Paul Zhang, Daryl R. DeFord, Justin Solomon
2020	J	`jnl`	Medial Axis Isoperimetric Profiles. CoRR Paul Zhang, Daryl R. DeFord, Justin Solomon
2020	A*	`conf`	Model Fusion with Kullback-Leibler Divergence. ICML Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon
2020	J	`jnl`	Model Fusion with Kullback-Leibler Divergence. CoRR Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon
2020	J	`jnl`	Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection. CoRR Yue Wang, Alireza Fathi, Jiajun Wu, Thomas A. Funkhouser, Justin Solomon
2020	J	`jnl`	Octahedral Frames for Feature-Aligned Cross Fields. ACM Trans. Graph. Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon
2020	J	`jnl`	Octahedral Frames for Feature-Aligned Cross-Fields. CoRR Paul Zhang, Josh Vekhter, Edward Chien, David Bommes, Etienne Vouga, Justin Solomon
2020	—	`conf`	Pillar-Based Object Detection for Autonomous Driving. ECCV (22) Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
2020	J	`jnl`	Pillar-based Object Detection for Autonomous Driving. CoRR Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Thomas A. Funkhouser, Justin Solomon
2020	J	`jnl`	Polygonal Building Segmentation by Frame Field Learning. CoRR Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2020	J	`jnl`	Redistricting Algorithms. CoRR Amariah Becker, Justin Solomon
2020	C	`conf`	Regularized Building Segmentation by Frame Field Learning. IGARSS Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2020	J	`jnl`	k-Variance: A Clustered Notion of Variance. CoRR Justin Solomon, Kristjan H. Greenewald, Haikady N. Nagaraja
2019	J	`jnl`	Algebraic Representations for Volumetric Frame Fields. CoRR David R. Palmer, David Bommes, Justin Solomon
2019	J	`jnl`	Alleviating Label Switching with Optimal Transport. CoRR Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin
2019	J	`jnl`	Audio Transport: A Generalized Portamento via Optimal Transport. CoRR Trevor Henderson, Justin Solomon
2019	J	`jnl`	Complexity and Geometry of Sampling Connected Graph Partitions. CoRR Lorenzo Najt, Daryl R. DeFord, Justin Solomon
2019	A*	`conf`	Deep Closest Point: Learning Representations for Point Cloud Registration. ICCV Yue Wang, Justin Solomon
2019	J	`jnl`	Deep Parametric Shape Predictions using Distance Fields. CoRR Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2019	J	`jnl`	Deep Sketch-Based Modeling of Man-Made Shapes. CoRR Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
2019	J	`jnl`	Functional Maps Representation On Product Manifolds. Comput. Graph. Forum Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2019	J	`jnl`	Geometry of Graph Partitions via Optimal Transport. CoRR Tara Abrishami, Nestor Guillen, Parker Rule, Zachary Schutzman, Justin Solomon, Thomas Weighill, Si Wu
2019	J	`jnl`	Hierarchical Optimal Transport for Document Representation. CoRR Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon
2019	J	`jnl`	Incorporating Unlabeled Data into Distributionally Robust Learning. CoRR Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
2019	—	`conf`	Learning Embeddings into Entropic Wasserstein Spaces. ICLR (Poster) Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
2019	J	`jnl`	Learning Embeddings into Entropic Wasserstein Spaces. CoRR Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
2019	J	`jnl`	Optimal transport-based polar interpolation of directional fields. ACM Trans. Graph. Justin Solomon, Amir Vaxman
2019	—	`conf`	Placental Flattening via Volumetric Parameterization. MICCAI (4) Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2019	J	`jnl`	Placental Flattening via Volumetric Parameterization. CoRR Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland
2019	J	`jnl`	Recombination: A family of Markov chains for redistricting. CoRR Daryl R. DeFord, Moon Duchin, Justin Solomon
2019	J	`jnl`	Reversible Harmonic Maps between Discrete Surfaces. ACM Trans. Graph. Danielle Ezuz, Justin Solomon, Mirela Ben-Chen
2019	J	`jnl`	Steklov Spectral Geometry for Extrinsic Shape Analysis. ACM Trans. Graph. Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon
2019	J	`jnl`	Total Variation Isoperimetric Profiles. SIAM J. Appl. Algebra Geom. Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon
2019	J	`jnl`	Vectorization of Line Drawings via Polyvector Fields. ACM Trans. Graph. Mikhail Bessmeltsev, Justin Solomon
2018	J	`jnl`	Dynamical Optimal Transport on Discrete Surfaces. CoRR Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon
2018	J	`jnl`	Dynamical optimal transport on discrete surfaces. ACM Trans. Graph. Hugo Lavenant, Sebastian Claici, Edward Chien, Justin Solomon
2018	J	`jnl`	Functional Maps Representation on Product Manifolds. CoRR Emanuele Rodolà, Zorah Lähner, Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon
2018	—	`conf`	Functional Maps on Product Manifolds. SGP (Posters) Emanuele Rodolà, Zorah Lähner, Alex M. Bronstein, Michael M. Bronstein, Justin Solomon
2018	J	`jnl`	Gerrymandering and Compactness: Implementation Flexibility and Abuse. CoRR Richard Barnes, Justin Solomon
2018	J	`jnl`	Interactive Curve Constrained Functional Maps. Comput. Graph. Forum Anne Gehre, Michael M. Bronstein, Leif Kobbelt, Justin Solomon
2018	J	`jnl`	Interactive exploration of design trade-offs. ACM Trans. Graph. Adriana Schulz, Harrison Wang, Eitan Grinspun, Justin Solomon, Wojciech Matusik
2018	J	`jnl`	Kernel Functional Maps. Comput. Graph. Forum Larry Wang, Anne Gehre, Michael M. Bronstein, Justin Solomon
2018	J	`jnl`	OptCuts: joint optimization of surface cuts and parameterization. ACM Trans. Graph. Minchen Li, Danny M. Kaufman, Vladimir G. Kim, Justin Solomon, Alla Sheffer
2018	J	`jnl`	Optimal Transport on Discrete Domains. CoRR Justin Solomon
2018	J	`jnl`	Quadratically Regularized Optimal Transport on Graphs. SIAM J. Sci. Comput. Montacer Essid, Justin Solomon
2018	J	`jnl`	Reversible Harmonic Maps between Discrete Surfaces. CoRR Danielle Ezuz, Justin Solomon, Mirela Ben-Chen
2018	J	`jnl`	Singularity-constrained octahedral fields for hexahedral meshing. ACM Trans. Graph. Heng Liu, Paul Zhang, Edward Chien, Justin Solomon, David Bommes
2018	A*	`conf`	Stochastic Wasserstein Barycenters. ICML Sebastian Claici, Edward Chien, Justin Solomon
2018	J	`jnl`	Stochastic Wasserstein Barycenters. CoRR Sebastian Claici, Edward Chien, Justin Solomon
2018	J	`jnl`	Total Variation Isoperimetric Profiles. CoRR Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon
2018	J	`jnl`	Vectorization of Line Drawings via PolyVector Fields. CoRR Mikhail Bessmeltsev, Justin Solomon
2018	J	`jnl`	Wasserstein Coresets for Lipschitz Costs. CoRR Sebastian Claici, Justin Solomon
2017	J	`jnl`	Boundary Element Octahedral Fields in Volumes. ACM Trans. Graph. Justin Solomon, Amir Vaxman, David Bommes
2017	J	`jnl`	Functional Characterization of Intrinsic and Extrinsic Geometry. ACM Trans. Graph. Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov
2017	J	`jnl`	GWCNN: A Metric Alignment Layer for Deep Shape Analysis. Comput. Graph. Forum Danielle Ezuz, Justin Solomon, Vladimir G. Kim, Mirela Ben-Chen
2017	J	`jnl`	Isometry-Aware Preconditioning for Mesh Parameterization. Comput. Graph. Forum Sebastian Claici, Mikhail Bessmeltsev, Scott Schaefer, Justin Solomon
2017	J	`jnl`	Learning Detail Transfer based on Geometric Features. Comput. Graph. Forum Sema Berkiten, Maciej Halber, Justin Solomon, Chongyang Ma, Hao Li, Szymon Rusinkiewicz
2017	—	`conf`	Parallel Streaming Wasserstein Barycenters. NIPS Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka
2017	J	`jnl`	Parallel Streaming Wasserstein Barycenters. CoRR Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka
2017	J	`jnl`	Quadratically-Regularized Optimal Transport on Graphs. CoRR Montacer Essid, Justin Solomon
2017	J	`jnl`	Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis. CoRR Yu Wang, Mirela Ben-Chen, Iosif Polterovich, Justin Solomon
2016	J	`jnl`	Continuous-Flow Graph Transportation Distances. CoRR Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
2016	J	`jnl`	Entropic metric alignment for correspondence problems. ACM Trans. Graph. Justin Solomon, Gabriel Peyré, Vladimir G. Kim, Suvrit Sra
2016	A*	`conf`	Gromov-Wasserstein Averaging of Kernel and Distance Matrices. ICML Gabriel Peyré, Marco Cuturi, Justin Solomon
2016	J	`jnl`	Near-Isometric Level Set Tracking. Comput. Graph. Forum Michael Tao, Justin Solomon, Adrian Butscher
2016	J	`jnl`	Quantum Optimal Transport for Tensor Field Processing. CoRR Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon
2015	J	`jnl`	Convolutional wasserstein distances: efficient optimal transportation on geometric domains. ACM Trans. Graph. Justin Solomon, Fernando de Goes, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du, Leonidas J. Guibas
2015	A*	`conf`	Exponential Integration for Hamiltonian Monte Carlo. ICML Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha
2015	—	`book`	Numerical Algorithms - Methods for Computer Vision, Machine Learning, and Graphics. Justin Solomon
2015	J	`jnl`	PDE Approaches to Graph Analysis. CoRR Justin Solomon
2015	—	`—`	Transportation techniques for geometric data processing. Justin Solomon
2014	J	`jnl`	A General Framework for Bilateral and Mean Shift Filtering. CoRR Justin Solomon, Keenan Crane, Adrian Butscher, Chris Wojtan
2014	J	`jnl`	Codimensional surface tension flow on simplicial complexes. ACM Trans. Graph. Bo Zhu, Ed Quigley, Matthew Cong, Justin Solomon, Ronald Fedkiw
2014	J	`jnl`	Earth mover's distances on discrete surfaces. ACM Trans. Graph. Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
2014	A*	`conf`	Wasserstein Propagation for Semi-Supervised Learning. ICML Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher
2013	J	`jnl`	Dirichlet Energy for Analysis and Synthesis of Soft Maps. Comput. Graph. Forum Justin Solomon, Leonidas J. Guibas, Adrian Butscher
2012	B	`conf`	Fast smoothed shock filtering. ICPR Antoine Vacavant, Adelaide Albouy-Kissi, Pierre-Yves Menguy, Justin Solomon
2012	J	`jnl`	Flexible Developable Surfaces. Comput. Graph. Forum Justin Solomon, Etienne Vouga, Max Wardetzky, Eitan Grinspun
2012	J	`jnl`	Functional maps: a flexible representation of maps between shapes. ACM Trans. Graph. Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, Leonidas J. Guibas
2012	J	`jnl`	Soft Maps Between Surfaces. Comput. Graph. Forum Justin Solomon, Andy Nguyen, Adrian Butscher, Mirela Ben-Chen, Leonidas J. Guibas
2011	J	`jnl`	As-Killing-As-Possible Vector Fields for Planar Deformation. Comput. Graph. Forum Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas
2011	J	`jnl`	Discovery of Intrinsic Primitives on Triangle Meshes. Comput. Graph. Forum Justin Solomon, Mirela Ben-Chen, Adrian Butscher, Leonidas J. Guibas
2010	J	`jnl`	On Discrete Killing Vector Fields and Patterns on Surfaces. Comput. Graph. Forum Mirela Ben-Chen, Adrian Butscher, Justin Solomon, Leonidas J. Guibas
2010	J	`jnl`	Smoothed local histogram filters. ACM Trans. Graph. Michael Kass, Justin Solomon
2009	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2009	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2009	J	`jnl`	Introduction: maxed out? ACM Crossroads Justin Solomon
2009	J	`jnl`	Programmers, Professors, and Parasites: Credit and Co-Authorship in Computer Science. Sci. Eng. Ethics Justin Solomon
2008	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2008	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2008	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2008	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2007	—	`conf`	Fast and accurate estimation of principal curvatures and directions for morphable models. SIGGRAPH Posters Justin Solomon
2007	J	`jnl`	Introduction. ACM Crossroads Justin Solomon
2007	J	`jnl`	Putting the ACM SIGCSE Bull. Justin Solomon
2007	J	`jnl`	SIGGRAPH 2006: exploring the art and science of computer graphics. ACM Crossroads Justin Solomon
2007	J	`jnl`	The science of shape: revolutionizing graphics and vision with the third dimension. ACM Crossroads Justin Solomon