Accepted Papers

Author	Title
Andrea Pugnana	Topics in Selective Classification
Catherine Ordun	Multimodal Deep Generative Models for Remote Medical Applications
Esmaeil Seraj	Embodied, Intelligent Communication for Multi-Agent Cooperation
Hiromu Yakura	Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration
Huixin Zhan	Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
Jadie Adams	Probabilistic Shape Models of Anatomy Directly from Images
James Ainooson	Modeling strategies as programs: How to study strategy differences in intelligent systems with program synthesis
Joel Michelson	Theory of mind: a familiar aspect of humanity to give machines
Joseph Alejandro Gallego Mejia	Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
Kaleigh Clary	Assessing Learned Representations under Open-World Novelty
Lily Xu	Learning and Planning Under Uncertainty for Conservation Decisions
Lucia Cipolina-Kun	Multi-Agent Reinforcement Learning with Theoretical Guarantees
Priyanka Ranade	Knowledge-Embedded Narrative Construction from Open Source Intelligence
Raja Farrukh Ali	Non-Exponential Reward Discounting in Reinforcement Learning
Saed Rezayi	Learning Better Representations Using Auxiliary Knowledge
Thao Le	Explaining the Uncertainty in AI-Assisted Decision Making
Xinlu Zhang	Deep learning for Medical Prediction in Electronic Health Records
Yiming Li	Poisoning-based Backdoor Attacks in Computer Vision
Yiwei Lyu	Safe Interactive Autonomy for Multi-agent Systems
Yuwei Sun	Meta Learning in Decentralized Neural Networks: Towards More General AI