Anastasios N. Angelopoulos

Computer Science · Physical Sciences

14h-index985citations77works2.42yr avg
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Research Topics

Anomaly Detection Techniques and Applications(9), Machine Learning and Data Classification(9), Explainable Artificial Intelligence (XAI)(8), Statistical Methods and Inference(7), Adversarial Robustness in Machine Learning(6)

Publications77 total

Conformal Risk Control for Non-Monotonic Losses
arXiv (Cornell University)·2026Open Access
Conformal Risk Control for Non-Monotonic Losses
ArXiv.org·2026Open Access
Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Protein-vec trained model for Functional Protein Mining with Conformal Guarantees (preservation copy for reproducibility)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Annotated Event-based Gaze and Eye Position Dataset by Angelopoulos et al. "Event-Based Near-Eye Gaze Tracking Beyond 10,000 Hz"
Zenodo (CERN European Organization for Nuclear Research)·2026· 2 citedOpen Access
EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
arXiv (Cornell University)·2025Open Access
Cost-Optimal Active AI Model Evaluation
arXiv (Cornell University)·2025Open Access
Search Arena: Analyzing Search-Augmented LLMs
arXiv (Cornell University)·2025Open Access
Learn then test: Calibrating predictive algorithms to achieve risk control
The Annals of Applied Statistics·2025· 8 cited
Ring deconvolution microscopy: exploiting symmetry for efficient spatially varying aberration correction
Nature Methods·2025· 10 citedOpen Access
Prompt-to-Leaderboard
arXiv (Cornell University)·2025Open Access
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
arXiv (Cornell University)·2025Open Access
Gradient Equilibrium in Online Learning: Theory and Applications
arXiv (Cornell University)·2025Open Access
Functional protein mining with conformal guarantees
Nature Communications·2025· 6 citedOpen Access
Navigating the unknown: out-of-distribution detection for medical imaging
Elsevier eBooks·2025· 2 cited
List of contributors
Elsevier eBooks·2025Open Access
Learned, uncertainty-driven adaptive acquisition for photon-efficient scanning microscopy
Optics Express·2024· 10 citedOpen Access
Specifications: The missing link to making the development of LLM systems an engineering discipline
arXiv (Cornell University)·2024· 2 citedOpen Access
Theoretical Foundations of Conformal Prediction
arXiv (Cornell University)·2024· 7 citedOpen Access
How to Evaluate Reward Models for RLHF
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Michael I. Jordan(20), Stephen Bates(13), Stephen Bates(9), Jitendra Malik(8), Amit Kohli(6), Reese Pathak(5), Sixian You(5), Lihua Lei(4), Rohit Varma(4), Laura Waller(4), Clara Fannjiang(3), Tijana Zrnic(3), Stuart R. Pomerantz(3), Emmanuel J. Candès(3), Gordon Wetzstein(3), Jennifer Listgarten(2), Ryan J. Tibshirani(2), Yaniv Romano(2), Cassandra Tong Ye(2), Jiashu Han(2)