George J. Pappas
University of Pennsylvania
H-index: 105
North America-United States
Top articles of George J. Pappas
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Macroscopic resting-state brain dynamics are best described by linear models | Nature biomedical engineering | Erfan Nozari Maxwell A Bertolero Jennifer Stiso Lorenzo Caciagli Eli J Cornblath | 2024/1 |
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation | arXiv preprint arXiv:2403.17247 | Arman Adibi* Nicolo Dal Fabbro* Harold Vincent Poor Sanjeev R Kulkarni Aritra Mitra | 2024/3/25 |
Active Learning for Control-Oriented Identification of Nonlinear Systems | arXiv preprint arXiv:2404.09030 | Bruce D Lee Ingvar Ziemann George J Pappas Nikolai Matni | 2024/4/13 |
Conformal prediction regions for time series using linear complementarity programming | Proceedings of the AAAI Conference on Artificial Intelligence | Matthew Cleaveland Insup Lee George J Pappas Lars Lindemann | 2024/3/24 |
Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method | arXiv preprint arXiv:2404.07937 | Charis Stamouli Ingvar Ziemann George J Pappas | 2024/4/11 |
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing | arXiv preprint arXiv:2402.16192 | Jiabao Ji Bairu Hou Alexander Robey George J Pappas Hamed Hassani | 2024/2/25 |
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models | arXiv preprint arXiv:2404.01318 | Patrick Chao Edoardo Debenedetti Alexander Robey Maksym Andriushchenko Francesco Croce | 2024/3/28 |
Conformal Prediction with Learned Features | arXiv preprint arXiv:2404.17487 | Shayan Kiyani George Pappas Hamed Hassani | 2024/4/26 |
The noise level in linear regression with dependent data | Advances in Neural Information Processing Systems | Ingvar Ziemann Stephen Tu George J Pappas Nikolai Matni | 2024/2/13 |
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation | arXiv preprint arXiv:2403.19103 | Yutong He Alexander Robey Naoki Murata Yiding Jiang Joshua Williams | 2024/3/28 |
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling | Arman Adibi Nicolò Dal Fabbro Luca Schenato Sanjeev Kulkarni H Vincent Poor | 2024/4/18 | |
Sharp rates in dependent learning theory: Avoiding sample size deflation for the square loss | arXiv preprint arXiv:2402.05928 | Ingvar Ziemann Stephen Tu George J Pappas Nikolai Matni | 2024/2/8 |
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification | arXiv preprint arXiv:2403.18972 | Prithvi Akella Anushri Dixit Mohamadreza Ahmadi Lars Lindemann Margaret P Chapman | 2024/3/27 |
Model-based robust deep learning | 2022/3/31 | ||
Computer systems and methods for learning operators | 2023/7/6 | ||
Smoothllm: Defending large language models against jailbreaking attacks | arXiv preprint arXiv:2310.03684 | Alexander Robey Eric Wong Hamed Hassani George J Pappas | 2023/10/5 |
Temporal difference learning with compressed updates: Error-feedback meets reinforcement learning | arXiv preprint arXiv:2301.00944 | Aritra Mitra George J Pappas Hamed Hassani | 2023/1/3 |
Safe perception-based control under stochastic sensor uncertainty using conformal prediction | Shuo Yang George J Pappas Rahul Mangharam Lars Lindemann | 2023/12/13 | |
Risk of stochastic systems for temporal logic specifications | ACM Transactions on Embedded Computing Systems | Lars Lindemann Lejun Jiang Nikolai Matni George J Pappas | 2023/4/19 |
Graph neural networks for multi-robot active information acquisition | Mariliza Tzes Nikolaos Bousias Evangelos Chatzipantazis George J Pappas | 2023/5/29 |
Co-Authors
