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06/11/2023
On Kinetic Optimal Probability Paths for Generative Models
Recent successful generative models are trained by fitting a neural netw...
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04/28/2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Simulation-free methods for training continuous-time generative models c...
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03/25/2023
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
Surface reconstruction has been seeing a lot of progress lately by utili...
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02/22/2023
Equivariant Polynomials for Graph Neural Networks
Graph Neural Networks (GNN) are inherently limited in their expressive p...
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02/16/2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
Recent advances in text-to-image generation with diffusion models presen...
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02/07/2023
Riemannian Flow Matching on General Geometries
We propose Riemannian Flow Matching (RFM), a simple yet powerful framewo...
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10/06/2022
Flow Matching for Generative Modeling
We introduce a new paradigm for generative modeling built on Continuous ...
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10/04/2022
Neural Conservation Laws: A Divergence-Free Perspective
We investigate the parameterization of deep neural networks that by desi...
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07/11/2022
Matching Normalizing Flows and Probability Paths on Manifolds
Continuous Normalizing Flows (CNFs) are a class of generative models tha...
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12/18/2021
Weisfeiler and Leman go Machine Learning: The Story so far
In recent years, algorithms and neural architectures based on the Weisfe...
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08/18/2021
Moser Flow: Divergence-based Generative Modeling on Manifolds
We are interested in learning generative models for complex geometries d...
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06/22/2021
Volume Rendering of Neural Implicit Surfaces
Neural volume rendering became increasingly popular recently due to its ...
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06/18/2021
Riemannian Convex Potential Maps
Modeling distributions on Riemannian manifolds is a crucial component in...
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06/14/2021
Phase Transitions, Distance Functions, and Implicit Neural Representations
Representing surfaces as zero level sets of neural networks recently eme...
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06/14/2020
From Graph Low-Rank Global Attention to 2-FWL Approximation
Graph Neural Networks (GNNs) are known to have an expressive power bound...
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02/20/2020
Set2Graph: Learning Graphs From Sets
Many problems in machine learning (ML) can be cast as learning functions...
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10/06/2019
On Universal Equivariant Set Networks
Using deep neural networks that are either invariant or equivariant to p...
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05/28/2019
Controlling Neural Level Sets
The level sets of neural networks represent fundamental properties such ...
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05/27/2019
Provably Powerful Graph Networks
Recently, the Weisfeiler-Lehman (WL) graph isomorphism test was used to ...
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01/27/2019
On the Universality of Invariant Networks
Constraining linear layers in neural networks to respect symmetry transf...
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12/27/2018
Surface Networks via General Covers
Developing deep learning techniques for geometric data is an active and ...
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12/24/2018
Invariant and Equivariant Graph Networks
Invariant and equivariant networks have been successfully used for learn...
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06/06/2018
Multi-chart Generative Surface Modeling
This paper introduces a 3D shape generative model based on deep neural n...
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03/27/2018
Point Convolutional Neural Networks by Extension Operators
This paper presents Point Convolutional Neural Networks (PCNN): a novel ...
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11/06/2017
A Linear Variational Principle for Riemann Mappings and Discrete Conformality
We consider Riemann mappings from bounded Lipschitz domains in the plane...
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11/06/2017
A Linear Variational Principle for Riemann Mapping and Discrete Conformality
We consider Riemann mappings from bounded Lipschitz domains in the plane...
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06/25/2017
Photometric Stereo by Hemispherical Metric Embedding
Photometric Stereo methods seek to reconstruct the 3d shape of an object...
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05/17/2017
DS++: A flexible, scalable and provably tight relaxation for matching problems
Correspondence problems are often modelled as quadratic optimization pro...
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06/10/2015
Wide baseline stereo matching with convex bounded-distortion constraints
Finding correspondences in wide baseline setups is a challenging problem...
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01/27/2013
