PPaperPicks

George J. Pappas

University of Pennsylvania, Philadelphia, PA, USA

19 papers at tracked venues · 13 at CORE A* · active 2024–2025

DBLP profile ↗ORCID 0000-0001-9081-0637 ↗Google Scholar ↗Homepage ↗

Venues

ICML ×5NeurIPS ×5ICRA ×4ICLR ×2AAAI ×1AISTATS ×1IROS ×1

Frequent coauthors

Hamed Hassani
×10
Shayan Kiyani
×5
Alexander Robey
×3
Edgar Dobriban
×2
Lars Lindemann
×2
Zachary Ravichandran
×2
Vijay Kumar
×2
Ingvar M. Ziemann
×2
Nikolai Matni
×2
Mahdi Sabbaghi
×1
Paul Kassianik
×1
Amin Karbasi
×1

Papers

  1. Adversarial Reasoning at Jailbreaking Time
    ICML 2025 ·
    Mahdi Sabbaghi
    ,
    Paul Kassianik
    , George J. Pappas,
    Amin Karbasi
    ,
    Hamed Hassani
  2. CViT: Continuous Vision Transformer for Operator Learning
    ICLR 2025 ·
    Sifan Wang
    ,
    Jacob H. Seidman
    ,
    Shyam Sankaran
    ,
    Hanwen Wang
    , George J. Pappas,
    Paris Perdikaris
  3. Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
    NeurIPS 2025 ·
    Sunay Joshi
    ,
    Shayan Kiyani
    , George J. Pappas,
    Edgar Dobriban
    ,
    Hamed Hassani
  4. Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models
    NeurIPS 2025 ·
    Sima Noorani
    ,
    Shayan Kiyani
    , George J. Pappas,
    Hamed Hassani
  5. Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
    ICML 2025 ·
    Shayan Kiyani
    , George J. Pappas,
    Aaron Roth
    ,
    Hamed Hassani
  6. Deep Equivariant Multi-Agent Control Barrier Functions
    IROS 2025 ·
    Nikolaos Bousias
    ,
    Lars Lindemann
    , George J. Pappas
  7. Flying Quadrotors in Tight Formations Using Learning-Based Model Predictive Control
    ICRA 2025 ·
    Kong Yao Chee
    ,
    Pei-An Hsieh
    , George J. Pappas,
    M. Ani Hsieh
  8. Jailbreaking LLM-Controlled Robots
    ICRA 2025 ·
    Alexander Robey
    ,
    Zachary Ravichandran
    ,
    Vijay Kumar
    ,
    Hamed Hassani
    , George J. Pappas
  9. SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
    ICRA 2025 ·
    Zachary Ravichandran
    ,
    Varun Murali
    ,
    Mariliza Tzes
    , George J. Pappas,
    Vijay Kumar
  10. Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
    NeurIPS 2025 ·
    Vasiliki Tassopoulou
    ,
    Charis J. Stamouli
    ,
    Haochang Shou
    , George J. Pappas,
    Christos Davatzikos
  11. Adversarial Training Should Be Cast as a Non-Zero-Sum Game
    ICLR 2024 ·
    Alexander Robey
    ,
    Fabian Latorre
    , George J. Pappas,
    Hamed Hassani
    ,
    Volkan Cevher
  12. Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
    AAAI 2024 ·
    Matthew Cleaveland
    ,
    Insup Lee
    , George J. Pappas,
    Lars Lindemann
  13. Conformal Prediction with Learned Features
    ICML 2024 ·
    Shayan Kiyani
    , George J. Pappas,
    Hamed Hassani
  14. Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
    ICML 2024 ·
    Thomas T. C. K. Zhang
    ,
    Bruce D. Lee
    ,
    Ingvar M. Ziemann
    , George J. Pappas,
    Nikolai Matni
  15. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
    NeurIPS 2024 ·
    Patrick Chao
    ,
    Edoardo Debenedetti
    ,
    Alexander Robey
    ,
    Maksym Andriushchenko
    ,
    Francesco Croce
    ,
    Vikash Sehwag
    ,
    Edgar Dobriban
    ,
    Nicolas Flammarion
    , George J. Pappas,
    Florian Tramèr
    ,
    Hamed Hassani
    ,
    Eric Wong
  16. Length Optimization in Conformal Prediction
    NeurIPS 2024 ·
    Shayan Kiyani
    , George J. Pappas,
    Hamed Hassani
  17. Optimal Scene Graph Planning with Large Language Model Guidance
    ICRA 2024 ·
    Zhirui Dai
    ,
    Arash Asgharivaskasi
    ,
    Thai Duong
    ,
    Shusen Lin
    ,
    Maria-Elizabeth Tzes
    , George J. Pappas,
    Nikolay Atanasov
  18. Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
    ICML 2024 ·
    Ingvar M. Ziemann
    ,
    Stephen Tu
    , George J. Pappas,
    Nikolai Matni
  19. Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
    AISTATS 2024 ·
    Arman Adibi
    ,
    Nicolò Dal Fabbro
    ,
    Luca Schenato
    ,
    Sanjeev R. Kulkarni
    ,
    H. Vincent Poor
    , George J. Pappas,
    Hamed Hassani
    ,
    Aritra Mitra