Papers
µ2 Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Siyou Li, Pengyao Qin, Huanan Wu et al.
Koopman Based Trajectory Optimization with Mixed Boundaries
Mohamed Abou-Taleb, Maximilian Raff, Kathrin Flaßkamp et al.
Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems
Mahdi Nazeri, Thom Badings, Sadegh Soudjani et al.
Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown Disturbances
Ibon Gracia, Luca Laurenti, Manuel Mazo Jr et al.
Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning
Haokun Yu, Jingyuan Zhou, Kaidi Yang
Learning and steering game dynamics towards desirable outcomes
Ilayda Canyakmaz, Iosif Sakos, Wayne Lin et al.
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics
Yichao Zhong, Chong Zhang, Tairan He et al.
TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning
Gokul Puthumanaillam, Jae Hyuk Song, Nurzhan Yesmagambet et al.
Disentangling Uncertainties by Learning Compressed Data Representation
Zhiyu An, Zhibo Hou, Wan Du
Robust Control of Uncertain Switched Affine Systems via Scenario Optimization
Negar Monir, Mahdieh S. Sadabadi, Sadegh Soudjani
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
Haoyu Li, Xiangru Zhong, Bin Hu et al.
Physics-informed Gaussian Processes as Linear Model Predictive Controller
Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann
PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games
Seyed Yousef Soltanian, Wenlong Zhang
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
Minah Lee, Uday Kamal, Saibal Mukhopadhyay
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
Fengze Xie, Sizhe Wei, Yue Song et al.
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
Shahbaz P Qadri Syed, He Bai
Learning Biomolecular Models using Signal Temporal Logic
Hanna Krasowski, Eric Palanques-Tost, Calin Belta et al.
Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation
Hao-Lun Hsu, Miroslav Pajic
STRiDE: STate-space Riemannian Diffusion for Equivariant Planning
Evangelos Chatzipantazis, Nishanth Rao, Kostas Daniilidis
Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training-Time Safety Violations
Pedram Rabiee, Amirsaeid Safari
Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
Maryann Rui, Munther Dahleh
Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms
Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt et al.
Nonconvex Linear System Identification with Minimal State Representation
Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg et al.
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
Yahya Sattar, Yassir Jedra, Maryam Fazel et al.
Safe Learning in the Real World via Adaptive Shielding with Hamilton-Jacobi Reachability
Michael Lu, Jashanraj Gosain, Luna Sang et al.