Justin Solomon

ACM Trans. Graph., October, 2024

Lifting Directional Fields to Minimal Sections.

[BibT_eX]

[DOI]

David R. Palmer

Albert Chern

ACM Trans. Graph., July, 2024

Through the Looking Glass: Mirror Schrödinger Bridges.

[BibT_eX]

[DOI]

Leticia Mattos Da Silva

Silvia Sellán

CoRR, 2024

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead.

[BibT_eX]

[DOI]

Jiacheng Zhu

Onkar Bhardwaj

Leshem Choshen

Haitz Sáez de Ocáriz Borde

CoRR, 2024

Robust Biharmonic Skinning Using Geometric Fields.

[BibT_eX]

[DOI]

CoRR, 2024

Score Distillation via Reparametrized DDIM.

[BibT_eX]

[DOI]

Artem Lukoianov

Vitor Campagnolo Guizilini

Timur M. Bagautdinov

Vincent Sitzmann

CoRR, 2024

Nuclear Norm Regularization for Deep Learning.

[BibT_eX]

[DOI]

Christopher Scarvelis

CoRR, 2024

Asymmetry in Low-Rank Adapters of Foundation Models.

[BibT_eX]

[DOI]

Jiacheng Zhu

Haitz Sáez de Ocáriz Borde

Kimia Nadjahi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Slicing Mutual Information Generalization Bounds for Neural Networks.

[BibT_eX]

[DOI]

Kimia Nadjahi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Variational Barycentric Coordinates.

[BibT_eX]

[DOI]

ACM Trans. Graph., December, 2023

Variational quasi-harmonic maps for computing diffeomorphisms.

[BibT_eX]

[DOI]

Yu Wang

Minghao Guo

ACM Trans. Graph., August, 2023

Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2023

k-Mixup Regularization for Deep Learning via Optimal Transport.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Rewiring with Positional Encodings for Graph Neural Networks.

[BibT_eX]

[DOI]

Haitz Sáez de Ocáriz Borde

Trans. Mach. Learn. Res., 2023

Closed-Form Diffusion Models.

[BibT_eX]

[DOI]

Christopher Scarvelis

CoRR, 2023

GeRA: Label-Efficient Geometrically Regularized Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Model Routing with Benchmark Datasets.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space.

[BibT_eX]

[DOI]

Tongzhou Wang

Manel Baradad

CoRR, 2023

Sum-of-Squares Collision Detection for Curved Shapes and Paths.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Data-Free Learning of Reduced-Order Kinematics.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

A Convex Optimization Framework for Regularized Geodesic Distances.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Self-Consistent Velocity Matching of Probability Flows.

[BibT_eX]

[DOI]

Lingxiao Li

Samuel Hurault

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Riemannian Metric Learning via Optimal Transport.

[BibT_eX]

[DOI]

Christopher Scarvelis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sampling with Mollified Interaction Energy Descent.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Proximal Operators to Discover Multiple Optima.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Wassersplines for Neural Vector Field-Controlled Animation.

[BibT_eX]

[DOI]

Paul Zhang

Comput. Graph. Forum, December, 2022

A Splitting Scheme for Flip-Free Distortion Energies.

[BibT_eX]

[DOI]

Jiajin Li

SIAM J. Imaging Sci., June, 2022

Co-Optimization of Design and Fabrication Plans for Carpentry.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Synthesis of Frame Field-Aligned Multi-Laminar Structures.

[BibT_eX]

[DOI]

Jakob Andreas Bærentzen

ACM Trans. Graph., 2022

Volumetric Parameterization of the Placenta to a Flattened Template.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

$k$-Variance: A Clustered Notion of Variance.

[BibT_eX]

[DOI]

Haikady N. Nagaraja

SIAM J. Math. Data Sci., 2022

Outlier-Robust Group Inference via Gradient Space Clustering.

[BibT_eX]

[DOI]

Yuchen Zeng

Kangwook Lee

CoRR, 2022

A Dataset and Benchmark for Mesh Parameterization.

[BibT_eX]

[DOI]

Georgia Shay

CoRR, 2022

Symmetric Volume Maps.

[BibT_eX]

[DOI]

CoRR, 2022

Wassersplines for Stylized Neural Animation.

[BibT_eX]

[DOI]

Paul Zhang

CoRR, 2022

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets.

[BibT_eX]

[DOI]

Tal Shnitzer

Proceedings of the International Conference on Machine Learning, 2022

DeepCurrents: Learning Implicit Representations of Shapes with Boundaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences.

[BibT_eX]

[DOI]

Xiangru Huang

Vitor Campanholo Guizilini

Rares Andrei Ambrus

Adrien Gaidon

Proceedings of the Conference on Robot Learning, 2022

2021

Sum-of-squares geometry processing.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Pareto gamuts: exploring optimal designs across varying contexts.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Interactive all-hex meshing via cuboid decomposition.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Fast quasi-harmonic weights for geometric data interpolation.

[BibT_eX]

[DOI]

Yu Wang

ACM Trans. Graph., 2021

HodgeNet: learning spectral geometry on triangle meshes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Incorporating Unlabeled Data into Distributionally Robust Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Co-Optimization of Design and Fabrication Plans for Carpentry: Supplemental Material.

[BibT_eX]

[DOI]

CoRR, 2021

Synthesis of Frame Field-Aligned Multi-Laminar Structures.

[BibT_eX]

[DOI]

Jakob Andreas Bærentzen

CoRR, 2021

Frame Field Operators.

[BibT_eX]

[DOI]

David R. Palmer

Comput. Graph. Forum, 2021

Special issue on 14th International Conference on Geometric Modeling and Processing (GMP2020).

[BibT_eX]

[DOI]

Carlotta Giannelli

Lin Lu

Comput. Aided Geom. Des., 2021

Improving approximate optimal transport distances using quantization.

[BibT_eX]

[DOI]

Gaspard Beugnot

Aude Genevay

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Object DGCNN: 3D Object Detection using Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MarioNette: Self-Supervised Sprite Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Large-Scale Wasserstein Gradient Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Outlier-Robust Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Manifold Patch-Based Representations of Man-Made Shapes.

[BibT_eX]

[DOI]

Mikhail Bessmeltsev

Proceedings of the 9th International Conference on Learning Representations, 2021

Polygonal Building Extraction by Frame Field Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Octahedral Frames for Feature-Aligned Cross Fields.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Algebraic Representations for Volumetric Frame Fields.

[BibT_eX]

[DOI]

David R. Palmer

David Bommes

ACM Trans. Graph., 2020

Geometry of Graph Partitions via Optimal Transport.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2020

Redistricting Algorithms.

[BibT_eX]

[DOI]

Amariah Becker

CoRR, 2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

A Computational Approach to Measuring Vote Elasticity and Competitiveness.

[BibT_eX]

[DOI]

Moon Duchin

CoRR, 2020

Polygonal Building Segmentation by Frame Field Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Medial Axis Isoperimetric Profiles.

[BibT_eX]

[DOI]

Paul Zhang

Comput. Graph. Forum, 2020

Hexahedral Mesh Repair via Sum-of-Squares Relaxation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Continuous Regularized Wasserstein Barycenters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Regularized Building Segmentation by Frame Field Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Model Fusion with Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Pillar-Based Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Parametric Shape Predictions Using Distance Fields.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Dynamic Graph CNN for Learning on Point Clouds.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

Steklov Spectral Geometry for Extrinsic Shape Analysis.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

Optimal transport-based polar interpolation of directional fields.

[BibT_eX]

[DOI]

Amir Vaxman

ACM Trans. Graph., 2019

Reversible Harmonic Maps between Discrete Surfaces.

[BibT_eX]

[DOI]

Danielle Ezuz

Mirela Ben-Chen

ACM Trans. Graph., 2019

Vectorization of Line Drawings via Polyvector Fields.

[BibT_eX]

[DOI]

Mikhail Bessmeltsev

ACM Trans. Graph., 2019

Total Variation Isoperimetric Profiles.

[BibT_eX]

[DOI]

SIAM J. Appl. Algebra Geom., 2019

Recombination: A family of Markov chains for redistricting.

[BibT_eX]

[DOI]

Moon Duchin

CoRR, 2019

Complexity and Geometry of Sampling Connected Graph Partitions.

[BibT_eX]

[DOI]

Lorenzo Najt

CoRR, 2019

Deep Sketch-Based Modeling of Man-Made Shapes.

[BibT_eX]

[DOI]

Mikhail Bessmeltsev

CoRR, 2019

Audio Transport: A Generalized Portamento via Optimal Transport.

[BibT_eX]

[DOI]

Trevor Henderson

CoRR, 2019

Functional Maps Representation On Product Manifolds.

[BibT_eX]

[DOI]

Emanuele Rodolà

Zorah Lähner

Alexander M. Bronstein

Michael M. Bronstein

Comput. Graph. Forum, 2019

Hierarchical Optimal Transport for Document Representation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

PRNet: Self-Supervised Learning for Partial-to-Partial Registration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Alleviating Label Switching with Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Placental Flattening via Volumetric Parameterization.

[BibT_eX]

[DOI]

Sayed Mazdak Abulnaga

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Embeddings into Entropic Wasserstein Spaces.

[BibT_eX]

[DOI]

Charlie Frogner

Farzaneh Mirzazadeh

Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Closest Point: Learning Representations for Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Interactive exploration of design trade-offs.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Singularity-constrained octahedral fields for hexahedral meshing.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

OptCuts: joint optimization of surface cuts and parameterization.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Dynamical optimal transport on discrete surfaces.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Quadratically Regularized Optimal Transport on Graphs.

[BibT_eX]

[DOI]

Montacer Essid

SIAM J. Sci. Comput., 2018

Wasserstein Coresets for Lipschitz Costs.

[BibT_eX]

[DOI]

Sebastian Claici

CoRR, 2018

Gerrymandering and Compactness: Implementation Flexibility and Abuse.

[BibT_eX]

[DOI]

Richard Barnes

CoRR, 2018

Optimal Transport on Discrete Domains.

[BibT_eX]

[DOI]

CoRR, 2018

Kernel Functional Maps.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Interactive Curve Constrained Functional Maps.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Functional Maps on Product Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Stochastic Wasserstein Barycenters.

[BibT_eX]

[DOI]

Sebastian Claici

Edward Chien

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Boundary Element Octahedral Fields in Volumes.

[BibT_eX]

[DOI]

Amir Vaxman

David Bommes

ACM Trans. Graph., 2017

Functional Characterization of Intrinsic and Extrinsic Geometry.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Steklov Geometry Processing: An Extrinsic Approach to Spectral Shape Analysis.

[BibT_eX]

[DOI]

CoRR, 2017

GWCNN: A Metric Alignment Layer for Deep Shape Analysis.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Isometry-Aware Preconditioning for Mesh Parameterization.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Learning Detail Transfer based on Geometric Features.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Parallel Streaming Wasserstein Barycenters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Entropic metric alignment for correspondence problems.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

Continuous-Flow Graph Transportation Distances.

[BibT_eX]

[DOI]

CoRR, 2016

Quantum Optimal Transport for Tensor Field Processing.

[BibT_eX]

[DOI]

Gabriel Peyré

Lenaïc Chizat

François-Xavier Vialard

CoRR, 2016

Near-Isometric Level Set Tracking.

[BibT_eX]

[DOI]

Michael Tao

Adrian Butscher

Comput. Graph. Forum, 2016

Gromov-Wasserstein Averaging of Kernel and Distance Matrices.

[BibT_eX]

[DOI]

Gabriel Peyré

Marco Cuturi

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Transportation techniques for geometric data processing.

[BibT_eX]

[DOI]

PhD thesis, 2015

Convolutional wasserstein distances: efficient optimal transportation on geometric domains.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

PDE Approaches to Graph Analysis.

[BibT_eX]

[DOI]

CoRR, 2015

Exponential Integration for Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Numerical Algorithms - Methods for Computer Vision, Machine Learning, and Graphics.

[BibT_eX]

[DOI]

CRC Press, ISBN: 978-1-482-25188-3, 2015

2014

Codimensional surface tension flow on simplicial complexes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

Earth mover's distances on discrete surfaces.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2014

A General Framework for Bilateral and Mean Shift Filtering.

[BibT_eX]

[DOI]

CoRR, 2014

Wasserstein Propagation for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Dirichlet Energy for Analysis and Synthesis of Soft Maps.

[BibT_eX]

[DOI]

Leonidas J. Guibas

Adrian Butscher

Comput. Graph. Forum, 2013

2012

Functional maps: a flexible representation of maps between shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2012

Flexible Developable Surfaces.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2012

Soft Maps Between Surfaces.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2012

Fast smoothed shock filtering.

[BibT_eX]

[DOI]

Antoine Vacavant

Adelaide Albouy-Kissi

Pierre-Yves Menguy

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

As-Killing-As-Possible Vector Fields for Planar Deformation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2011

Discovery of Intrinsic Primitives on Triangle Meshes.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2011

2010

Smoothed local histogram filters.

[BibT_eX]

[DOI]

Michael Kass

ACM Trans. Graph., 2010

On Discrete Killing Vector Fields and Patterns on Surfaces.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2010

2009

Programmers, Professors, and Parasites: Credit and Co-Authorship in Computer Science.

[BibT_eX]

[DOI]

Sci. Eng. Ethics, 2009

Introduction: maxed out?

[BibT_eX]

[DOI]

ACM Crossroads, 2009

2008

Introduction.

[BibT_eX]

[DOI]

ACM Crossroads, 2008

2007

Putting the <i>science</i> into computer science: treating introductory computer science as the study of algorithms.

[BibT_eX]

[DOI]

ACM SIGCSE Bull., 2007

The science of shape: revolutionizing graphics and vision with the third dimension.

[BibT_eX]

[DOI]

ACM Crossroads, 2007

SIGGRAPH 2006: exploring the art and science of computer graphics.

[BibT_eX]

[DOI]

ACM Crossroads, 2007

Fast and accurate estimation of principal curvatures and directions for morphable models.

[BibT_eX]

[DOI]