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20152026
most citedUnderstanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization

375 citations · 375 across the 7 of their papers we have counts for

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cs.LG2026

What a Reporting Convention Hides: A Matched-Budget Audit of Quantum Natural Gradient with an Exactly Computed Metric

Lu Wei, Yufeng Wang, Haibin Ling

Several published comparisons of variational quantum optimizers time only runs that reach a target loss, or read the verdict at a single target. Either convention could decide whet…

cs.LG2026

A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs

Erel Shtossel, Alicia Vidler, Uri Shaham +1

Recent research has revived and amplified interest in algorithms for undiscounted average reward reinforcement learning in infinite-horizon, non-episodic (continuing) tasks. Semi-M…

cs.LG2026

PRISM: PRIor from corpus Statistics for topic Modeling

Tal Ishon, Yoav Goldberg, Uri Shaham

Topic modeling seeks to uncover latent semantic structure in text, with LDA providing a foundational probabilistic framework. While recent methods often incorporate external knowle…

cs.LG2026

Unsupervised Ensemble Learning Through Deep Energy-based Models

Ariel Maymon, Yanir Buznah, Uri Shaham

Unsupervised ensemble learning emerged to address the challenge of combining multiple learners' predictions without access to ground truth labels or additional data. This paradigm…

cs.LG2025

Generalizable Spectral Embedding with an Application to UMAP

Nir Ben-Ari, Amitai Yacobi, Uri Shaham

Spectral Embedding (SE) is a popular method for dimensionality reduction, applicable across diverse domains. Nevertheless, its current implementations face three prominent drawback…