Ofir Lindenbaum
18 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
🏆
Grand Slam
🔥
Unstoppable
(6)
💎
Century Club
(17)
⚡
Prolific Year
(7)
Conferences
ICML (5)
ICLR (3)
UAI (3)
NIPS (2)
AAAI (1)
AISTATS (1)
ECCV (1)
EMNLP (1)
INTERSPEECH (1)
Top co-authors
Keywords
unsupervised feature selection
(3)
feature selection
(2)
graph laplacian
(2)
direct preference optimization
(1)
keyword spotting
(1)
knowledge editing
(1)
sparse representation
(1)
multi-modal learning
(1)
neural network optimization
(1)
group sparsity
(1)
weight update
(1)
gradient descent
(1)
probabilistic relaxation
(1)
survival analysis
(1)
interpretable machine learning
(1)
stochastic gradient descent
(1)
generative model
(1)
linear classifier
(1)
stochastic differential equation
(1)
representation learning
(1)
Papers
Unsupervised Feature Selection Through Group Discovery
AAAI 2026
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
ICML 2025
COPER: Correlation-based Permutations for Multi-View Clustering
ICLR 2025
AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
ICLR 2025
Anomaly Detection with Variance Stabilized Density Estimation
UAI 2024
Sparse Binarization for Fast Keyword Spotting
INTERSPEECH 2024
Contextual Feature Selection with Conditional Stochastic Gates
ICML 2024
Interpretable Deep Clustering for Tabular Data
ICML 2024
Transductive and Inductive Outlier Detection with Robust Autoencoders
UAI 2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
EMNLP 2024
Revisiting the Noise Model of Stochastic Gradient Descent
AISTATS 2024
Multi-modal differentiable unsupervised feature selection
UAI 2023
Locally Sparse Neural Networks for Tabular Biomedical Data
ICML 2022
L0-Sparse Canonical Correlation Analysis
ICLR 2022
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
NIPS 2021
Feature Selection using Stochastic Gates
ICML 2020
Variational Diffusion Autoencoders with Random Walk Sampling
ECCV 2020
Geometry Based Data Generation
NIPS 2018