George J. Pappas
39 papers · 2018–2025 · 13 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(18)
π€
Dynamic Duo
(17)
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(156)
π
Conference Pioneer
β‘
Prolific Year
(5)
π₯
Unstoppable
(8)
β
The Questioner
π
Century Club
(39)
Conferences
L4DC (9)
NIPS (9)
ICML (7)
ICLR (3)
IJCAI (2)
RSS (2)
AAAI (1)
AACL (1)
AISTATS (1)
COLT (1)
CORL (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Research topics
Keywords
adversarial robustness
(4)
jailbreak attack
(3)
uncertainty quantification
(3)
operator learning
(3)
adversarial training
(3)
model predictive control
(3)
functional datum
(2)
conformal prediction
(2)
motion planning
(2)
adversarial attack
(2)
partial differential equation
(2)
sample complexity
(2)
domain generalization
(2)
adversarial learning
(2)
robust optimization
(2)
trajectory prediction
(2)
distributed optimization
(2)
variational autoencoder
(2)
optimal control
(2)
semantic smoothing
(2)
Papers
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
IJCNLP 2025
Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
CORL 2025
Adversarial Reasoning at Jailbreaking Time
ICML 2025
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
AACL 2025
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
ICML 2025
CViT: Continuous Vision Transformer for Operator Learning
ICLR 2025
Domain Randomization is Sample Efficient for Linear Quadratic Control
L4DC 2025
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
ICLR 2024
Conformal Prediction with Learned Features
ICML 2024
Uncertainty quantification and robustification of model-based controllers using conformal prediction
L4DC 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
ICML 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NIPS 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming
AAAI 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
ICML 2024
Active Collaborative Localization in Heterogeneous Robot Teams
RSS 2023
The noise level in linear regression with dependent data
NIPS 2023
Variational Autoencoding Neural Operators
ICML 2023
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
L4DC 2023
Certified Invertibility in Neural Networks via Mixed-Integer Programming
L4DC 2023
Physics-enhanced Gaussian Process Variational Autoencoder
L4DC 2023
Linear Stochastic Bandits over a Bit-Constrained Channel
L4DC 2023
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
NIPS 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning
NIPS 2022
Learning Operators with Coupled Attention
JMLR 2022
Adaptive Stochastic MPC under Unknown Noise Distribution
L4DC 2022
Probabilistically Robust Learning: Balancing Average and Worst-case Performance
ICML 2022
Do deep networks transfer invariances across classes?
ICLR 2022
Learning to Control Linear Systems can be Hard
COLT 2022
Probable Domain Generalization via Quantile Risk Minimization
NIPS 2022
Adversarial Robustness with Semi-Infinite Constrained Learning
NIPS 2021
Safe Pontryagin Differentiable Programming
NIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
NIPS 2021
Model-Based Domain Generalization
NIPS 2021
Optimal Algorithms for Submodular Maximization with Distributed Constraints
L4DC 2021
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
L4DC 2020
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
RSS 2019
Assumed Density Filtering Q-learning
IJCAI 2019
A Unifying View of Geometry, Semantics, and Data Association in SLAM
IJCAI 2018