← Authors

Yuval Kluger

20 papers · 2015–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ’Ž Century Club (20) πŸ—ƒοΈ Keyword Collector (73) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6)

Conferences

ICML (8) ICLR (4) AISTATS (3) NIPS (2) UAI (2) CVPR (1)

Top co-authors

Ofir Lindenbaum (7) Boaz Nadler (6) Ariel Jaffe (5) Henry Li (4) Uri Shaham (3) Erez Peterfreund (2) Junchen Yang (2) Omer Dror (2) Ronen Talmon (2) Ronen Basri (2)

Keywords

spectral method (3) unsupervised learning (3) feature selection (3) neural network (2) riemannian geometry (2) graph laplacian (2) unsupervised feature selection (2) density estimation (1) image captioning (1) image generation (1) multimodal learning (1) interpretable machine learning (1) multi-modal learning (1) tensor decomposition (1) visual question answering (1) spectral clustering (1) survival analysis (1) probabilistic relaxation (1) spectral analysis (1) gradient descent (1)

Papers

Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data ICML 2025
Dual Diffusion for Unified Image Generation and Understanding CVPR 2025
Transductive and Inductive Outlier Detection with Robust Autoencoders UAI 2024
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps ICLR 2024
Few-Sample Feature Selection via Feature Manifold Learning ICML 2023
Multi-modal differentiable unsupervised feature selection UAI 2023
GEASS: Neural causal feature selection for high-dimensional biological data ICLR 2023
Towards Understanding and Reducing Graph Structural Noise for GNNs ICML 2023
Locally Sparse Neural Networks for Tabular Biomedical Data ICML 2022
Neural Inverse Transform Sampler ICML 2022
Crowdsourcing Regression: A Spectral Approach AISTATS 2022
L0-Sparse Canonical Correlation Analysis ICLR 2022
Differentiable Unsupervised Feature Selection based on a Gated Laplacian NIPS 2021
Hyperbolic Procrustes Analysis Using Riemannian Geometry NIPS 2021
Feature Selection using Stochastic Gates ICML 2020
Learning Binary Latent Variable Models: A Tensor Eigenpair Approach ICML 2018
SpectralNet: Spectral Clustering using Deep Neural Networks ICLR 2018
A Deep Learning Approach to Unsupervised Ensemble Learning ICML 2016
Unsupervised Ensemble Learning with Dependent Classifiers AISTATS 2016
Estimating the accuracies of multiple classifiers without labeled data AISTATS 2015