Markov Decision Processes with Noisy State Observation. - Amirhossein Afsharrad; Sanjay Lall (CoRR, 2023)

Convex Methods for Constrained Linear Bandits. - Amirhossein Afsharrad; Ahmadreza Moradipari; Sanjay Lall (ECC, 2024)

Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers. - Davide Celestini; Amirhossein Afsharrad; Daniele Gammelli; Tommaso Guffanti; Gioele Zardini; Sanjay Lall; Elisa Capello; Simone D'Amico; Marco Pavone 001 (CoRR, 2024)

Cooperative Multi-Agent Constrained Stochastic Linear Bandits. - Amirhossein Afsharrad; Parisa Oftadeh; Ahmadreza Moradipari; Sanjay Lall (CoRR, 2024)

One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise. - Amirabbas Afzali; Amirhossein Afsharrad; Seyed Shahabeddin Mousavi; Sanjay Lall (CoRR, 2025)

LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders. - Borna Khodabandeh; Amirabbas Afzali; Amirhossein Afsharrad; Seyed Shahabeddin Mousavi; Sanjay Lall; Sajjad Amini; Seyed-Mohsen Moosavi-Dezfooli (CoRR, 2025)

Evaluating Speech-to-Text x LLM x Text-to-Speech Combinations for AI Interview Systems. - Nima Yazdani; Ali Ansari 003; Aruj Mahajan; Amirhossein Afsharrad; Seyed Shahabeddin Mousavi (CoRR, 2025)