Ali Baheri - RankMe

56 papers A* 1C 6Journal 47Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Conformal Prediction via Bayesian Uncertainty Weighting for Hierarchical Healthcare Data. CoRR Marzieh Amiri Shahbazi, Ali Baheri, Nasibeh Azadeh-Fard
2026	J	`jnl`	Can Optimal Transport Improve Federated Inverse Reinforcement Learning? CoRR David Millard, Ali Baheri
2026	J	`jnl`	Federated Distributional Reinforcement Learning with Distributional Critic Regularization. CoRR David Millard, Cecilia O. Alm, Rashid Ali, Pengcheng Shi, Ali Baheri
2026	J	`jnl`	Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds. CoRR Marzieh Amiri Shahbazi, Ali Baheri
2026	J	`jnl`	Logic-Guided Vector Fields for Constrained Generative Modeling. CoRR Ali Baheri
2025	J	`jnl`	DEF: Diffusion-augmented Ensemble Forecasting. CoRR David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2025	J	`jnl`	Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets. CoRR Shriram Karpoora Sundara Pandian, Ali Baheri
2025	J	`jnl`	Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings. CoRR Ali Baheri
2025	J	`jnl`	Geometry-Aware Decentralized Sinkhorn for Wasserstein Barycenters. CoRR Ali Baheri, David Millard, Alireza Vahid
2025	C	`conf`	Hierarchical Neuro-Symbolic Decision Transformer. NeSy Ali Baheri, Cecilia O. Alm
2025	J	`jnl`	Hierarchical Neuro-Symbolic Decision Transformer. CoRR Ali Baheri, Cecilia O. Alm
2025	J	`jnl`	Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning. CoRR Ali Baheri
2025	J	`jnl`	Metriplectic Conditional Flow Matching for Dissipative Dynamics. CoRR Ali Baheri, Lars Lindemann
2025	J	`jnl`	Multi-Scale Conformal Prediction: A Theoretical Framework with Coverage Guarantees. CoRR Ali Baheri, Marzieh Amiri Shahbazi
2025	J	`jnl`	PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning. CoRR David Millard, Arielle Carr, Stéphane Gaudreault, Ali Baheri
2025	J	`jnl`	Risk-Averse Reinforcement Learning: An Optimal Transport Perspective on Temporal Difference Learning. CoRR Zahra Shahrooei, Ali Baheri
2025	J	`jnl`	SMTL: A Stratified Logic for Expressive Multi-Level Temporal Specifications. CoRR Ali Baheri, Peng Wei
2025	J	`jnl`	Split Conformal Prediction in the Function Space with Neural Operators. CoRR David Millard, Lars Lindemann, Ali Baheri
2025	—	`conf`	WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning. L4DC Ali Baheri, Zahra Shahrooei, Chirayu Salgarkar
2025	J	`jnl`	Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning. CoRR Ali Baheri, Zahra Sharooei, Chirayu Salgarkar
2025	J	`jnl`	Wasserstein Barycenter Soft Actor-Critic. CoRR Zahra Shahrooei, Ali Baheri
2025	J	`jnl`	Wasserstein-Barycenter Consensus for Cooperative Multi-Agent Reinforcement Learning. CoRR Ali Baheri
2024	J	`jnl`	A survey on reinforcement learning in aviation applications. Eng. Appl. Artif. Intell. Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei
2024	J	`jnl`	BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. IEEE Access Joshua Yancosek, Ali Baheri
2024	J	`jnl`	BEACON: A Bayesian Evolutionary Approach for Counterexample Generation of Control Systems. CoRR Joshua Yancosek, Ali Baheri
2024	J	`jnl`	Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning. CoRR Lunet Yifru, Ali Baheri
2024	J	`jnl`	Hierarchical Upper Confidence Bounds for Constrained Online Learning. CoRR Ali Baheri
2024	J	`jnl`	Optimal Transport-Assisted Risk-Sensitive Q-Learning. CoRR Zahra Shahrooei, Ali Baheri
2024	J	`jnl`	Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach. CoRR Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2024	J	`jnl`	The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR Ali Baheri, Mykel J. Kochenderfer
2023	J	`jnl`	Exploring the role of simulator fidelity in the safety validation of learning-enabled autonomous systems. AI Mag. Ali Baheri
2023	—	`conf`	Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2023	J	`jnl`	Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR Ali Baheri, Mykel J. Kochenderfer
2023	J	`jnl`	Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning. CoRR Lunet Yifru, Ali Baheri
2023	J	`jnl`	LLMs-augmented Contextual Bandit. CoRR Ali Baheri, Cecilia O. Alm
2023	J	`jnl`	Risk-Aware Reinforcement Learning through Optimal Transport Theory. CoRR Ali Baheri
2023	A*	`conf`	Safety Validation of Learning-Based Autonomous Systems: A Multi-Fidelity Approach. AAAI Ali Baheri
2023	J	`jnl`	Towards Theoretical Understanding of Data-Driven Policy Refinement. CoRR Ali Baheri
2023	J	`jnl`	Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning. CoRR Ali Baheri
2022	J	`jnl`	A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors. CoRR Stephen Jacobs, R. Michael Butts, Yu Gu, Ali Baheri, Guilherme A. S. Pereira
2022	J	`jnl`	A Survey on Reinforcement Learning in Aviation Applications. CoRR Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei
2022	J	`jnl`	A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems. CoRR Ali Baheri, Hao Ren, Benjamin Johnson, Pouria Razzaghi, Peng Wei
2022	J	`jnl`	Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. CoRR Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
2022	J	`jnl`	Fast variable selection makes scalable Gaussian process BSS-ANOVA a speedy and accurate choice for tabular and time series regression. CoRR David S. Mebane, Kyle Hayes, Ali Baheri
2022	J	`jnl`	Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach. CoRR Jared J. Beard, Ali Baheri
2020	C	`conf`	Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. IV Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
2020	J	`jnl`	Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving. CoRR Ali Baheri
2020	C	`conf`	Vision-Based Autonomous Driving: A Model Learning Approach. ACC Ali Baheri, Ilya V. Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar P. Filev
2020	J	`jnl`	Vision-Based Autonomous Driving: A Model Learning Approach. CoRR Ali Baheri, Ilya V. Kolmanovsky, Anouck Girard, H. Eric Tseng, Dimitar P. Filev
2020	C	`conf`	Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. ACC Ali Baheri, Chris Vermillion
2019	J	`jnl`	Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving. CoRR Ali Baheri, Subramanya Nageshrao, H. Eric Tseng, Ilya V. Kolmanovsky, Anouck Girard, Dimitar P. Filev
2019	J	`jnl`	Economically Efficient Combined Plant and Controller Design Using Batch Bayesian Optimization: Mathematical Framework and Airborne Wind Energy Case Study. CoRR Ali Baheri, Chris Vermillion
2019	J	`jnl`	Spatiotemporal Optimization Through Gaussian Process-Based Model Predictive Control: A Case Study in Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. Shamir Bin-Karim, Alireza Bafandeh, Ali Baheri, Christopher Vermillion
2019	J	`jnl`	Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems. CoRR Ali Baheri, Chris Vermillion
2017	C	`conf`	Altitude optimization of Airborne Wind Energy systems: A Bayesian Optimization approach. ACC Ali Baheri, Christopher Vermillion
2015	C	`conf`	Concurrent design of unity-magnitude input shapers and proportional-derivative feedback controllers. ACC Ali Baheri, Joshua Vaughan