Yaron Lipman
37 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(12)
🔬
Deep Specialist
(15)
🧬
Topic Evolution
🏆
Keyword Champion
(7)
🧭
Keyword Pioneer
👑
Triple Crown
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(144)
📈
Trend Setter
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Deep Learning
(33)
Machine Learning
(31)
Optimization & Theory
(20)
Models
(18)
Architectures
(15)
Computer Vision
(12)
Core Methods
(11)
Analysis
(7)
Generation
(7)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Core AI
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Optimization
(4)
Keywords
implicit neural representation
(7)
flow matching
(6)
generative model
(6)
diffusion model
(6)
neural network
(6)
point cloud
(5)
graph neural network
(5)
generative modeling
(5)
surface reconstruction
(4)
continuous normalizing flow
(4)
signed distance function
(4)
probability path
(4)
optimal transport
(3)
vector field
(3)
3d reconstruction
(3)
novel view synthesis
(2)
discrete diffusion
(2)
normalizing flow
(2)
graph isomorphism
(2)
frame averaging
(2)
Papers
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
ICLR 2025
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
ICML 2024
Bespoke Solvers for Generative Flow Models
ICLR 2024
D-Flow: Differentiating through Flows for Controlled Generation
ICML 2024
Discrete Flow Matching
NeurIPS 2024
Flow Matching on General Geometries
ICLR 2024
Generalized Schrödinger Bridge Matching
ICLR 2024
Mosaic-SDF for 3D Generative Models
CVPR 2024
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Flow Matching for Generative Modeling
ICLR 2023
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
ICML 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
ICML 2023
On Kinetic Optimal Probability Paths for Generative Models
ICML 2023
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
Frame Averaging for Equivariant Shape Space Learning
CVPR 2022
Frame Averaging for Invariant and Equivariant Network Design
ICLR 2022
Matching Normalizing Flows and Probability Paths on Manifolds
ICML 2022
Neural Conservation Laws: A Divergence-Free Perspective
NeurIPS 2022
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
NeurIPS 2022
Moser Flow: Divergence-based Generative Modeling on Manifolds
NeurIPS 2021
Phase Transitions, Distance Functions, and Implicit Neural Representations
ICML 2021
Riemannian Convex Potential Maps
ICML 2021
SALD: Sign Agnostic Learning with Derivatives
ICLR 2021
Volume Rendering of Neural Implicit Surfaces
NeurIPS 2021
Implicit Geometric Regularization for Learning Shapes
ICML 2020
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
NeurIPS 2020
On Universal Equivariant Set Networks
ICLR 2020
SAL: Sign Agnostic Learning of Shapes From Raw Data
CVPR 2020
Set2Graph: Learning Graphs From Sets
NeurIPS 2020
Controlling Neural Level Sets
NeurIPS 2019
Invariant and Equivariant Graph Networks
ICLR 2019
On the Universality of Invariant Networks
ICML 2019
Provably Powerful Graph Networks
NeurIPS 2019
Surface Networks via General Covers
ICCV 2019
(Probably) Concave Graph Matching
NeurIPS 2018
Wide Baseline Stereo Matching With Convex Bounded Distortion Constraints
ICCV 2015