Ronen Talmon
11 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(62)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Mathematics & Optimization
(5)
Core Methods
(5)
Deep Learning
(4)
Mathematics
(4)
Optimization & Theory Β· Machine Learning
(4)
Artificial Intelligence
(3)
Learning Types
(3)
Bayesian & Probabilistic
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
manifold learning
(3)
diffusion geometry
(2)
riemannian geometry
(2)
dimensionality reduction
(2)
graph embedding
(2)
metric learning
(2)
parameter estimation
(1)
independent component analysis
(1)
stochastic gradient descent
(1)
signal separation
(1)
graph laplacian
(1)
label propagation
(1)
3d reconstruction
(1)
feature selection
(1)
image reconstruction
(1)
image synthesis
(1)
universal approximation
(1)
neural network optimization
(1)
statistical independence
(1)
semi-supervised learning
(1)
Papers
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
ICLR 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
ICLR 2025
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
NeurIPS 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
AAAI 2024
Few-Sample Feature Selection via Feature Manifold Learning
ICML 2023
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Discovery of Single Independent Latent Variable
NeurIPS 2022
Hyperbolic Procrustes Analysis Using Riemannian Geometry
NeurIPS 2021
Option Discovery in the Absence of Rewards with Manifold Analysis
ICML 2020
Statistical Tomography of Microscopic Life
CVPR 2018