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Home/Authors/George J. Pappas

George J. Pappas

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

12

papers

688

total citations

papers (12)

Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients

NEURIPS 2021arXiv

Model-Based Domain Generalization

NEURIPS 2021arXiv

NOMAD: Nonlinear Manifold Decoders for Operator Learning

NEURIPS 2022arXiv

Probable Domain Generalization via Quantile Risk Minimization

NEURIPS 2022arXiv

Safe Pontryagin Differentiable Programming

NEURIPS 2021arXiv

Adversarial Robustness with Semi-Infinite Constrained Learning

NEURIPS 2021arXiv

CViT: Continuous Vision Transformer for Operator Learning

Conformal Prediction with Learned Features

Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds

NEURIPS 2022arXiv

The noise level in linear regression with dependent data

NEURIPS 2023arXiv

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands

NEURIPS 2025arXiv