Schedule

Location

Walter E. Washington Convention Center, Room 209A.

[8:45am] Welcome and Logistics, Lei Li and Jakob Foerster.
[9:00am-10:00am] Invited Talk Amy Zhang (UT Austin), Exploring Context for Better Generalization in Reinforcement Learning
Host: Lei Li
[10:00am-11:00am] Mentoring session for mentor-mentees. Soical Session.
[11:00am] Kaleigh Clary Assessing Learned Representations under Open-World Novelty
Mentor: Amy Zhang
[11:30am] Joseph Alejandro Gallego Mejia Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
Mentor: Maria Chang
[12:00pm] Huixin Zhan Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes
Mentor: Stefania Costantini

[12:30pm - 2:00pm] Lunch (Student lead lunch with mentors)

[2:00pm] Joel Michelson Theory of mind: a familiar aspect of humanity to give machines
Mentor: Laura Hiatt
[2:30pm] Saed Rezayi Learning Better Representations Using Auxiliary Knowledge
Mentor: Ruben Glatt
[3:00pm] Catherine Ordun Multimodal Deep Generative Models for Remote Medical Applications
Mentor: Lei Li

[3:30pm - 4:00pm] break and social

[4:00pm] Lily Xu Learning and Planning Under Uncertainty for Conservation Decisions
Mentor: David Aha
[4:30pm] Esmaeil Seraj Embodied, Intelligent Communication for Multi-Agent Cooperation
Mentor: Matthew E., Taylor
[5:00pm] Lucia Cipolina-Kun Multi-Agent Reinforcement Learning with Theoretical Guarantees
Mentor: Biplav Srivastava
[5:30pm] Yiwei Lyu Safe Interactive Autonomy for Multi-agent Systems
Mentor: Fei Fang

** [6:15-8:30pm] Group Dinner for all mentors and students **

[9:00am-10:00am] Invited Talk Pulkit Agrawal (MIT), Fun with Robots and Machine Learning
Host: Jakob Foerster
[10:00am-11:00am] Mentoring session for mentor-mentees. Soical Session.
[11:00am] Yiming Li Poisoning-based Backdoor Attacks in Computer Vision
Mentor: Andrea, Omicini
[11:30am] Hiromu Yakura Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration
Mentor: Pulkit Agrawal
[12:00pm] Thao Le Explaining the Uncertainty in AI-Assisted Decision Making
Mentor: Matthew Gombolay

[12:30pm - 2:00pm] Lunch (Student lead lunch with mentors)

[2:00pm] Priyanka Ranade Knowledge-Embedded Narrative Construction from Open Source Intelligence
Mentor: Mark Roberts
[2:30pm] Xinlu Zhang Deep learning for Medical Prediction in Electronic Health Records
Mentor: Jun Araki
[3:00pm] Jadie Adams Probabilistic Shape Models of Anatomy Directly from Images
Mentor: Mohan Sridharan

[3:30pm - 4:00pm] break and social

[4:00pm] Raja Farrukh Ali Non-Exponential Reward Discounting in Reinforcement Learning
Mentor: Jakob Foerster
[4:30pm] Andrea Pugnana Topics in Selective Classification
Mentor: Lili Mou
[5:00pm] Yuwei Sun Meta Learning in Decentralized Neural Networks: Towards More General AI
Mentor: Felipe Rech Meneguzzi
[5:30pm] James Ainooson Modeling strategies as programs: How to study strategy differences in intelligent systems with program synthesis
Mentor:
[6:00pm] Closing Remarks

Thursday Feb 9th, 7-9pm EST (along with AAAI main conference)