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Workshop
Fri 15:15 Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Ini Oguntola · Joseph Campbell · Simon Stepputtis · Katia Sycara
Workshop
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Explainability
Kacper Sokol · Julia Vogt
Workshop
A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning
Haoran Zhang · Qixuan Jin · Thomas Hartvigsen · Miriam Udler · Marzyeh Ghassemi
Workshop
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
Neha Gianchandani · Mahsa Dibaji · Mariana Bento · Ethan MacDonald · Roberto Souza
Workshop
Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid · Paulo Orenstein · Genevieve Flaspohler · Judah Cohen · Miruna Oprescu · Ernest Fraenkel · Lester Mackey
Workshop
Synergizing Deep Reinforcement Learning and Biological Pursuit Behavioral Rule for Robust and Interpretable Navigation
Kazushi Tsutsui · Kazuya Takeda · Keisuke Fujii
Workshop
Task-Linear Deep Representation of Physical Systems
Matthieu Blanke · Marc Lelarge
Poster
Tue 17:00 Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero · Gabriele Ciravegna · Francesco Giannini · Mateo Espinosa Zarlenga · Lucie Charlotte Magister · Alberto Tonda · Pietro Lió · Frederic Precioso · Mateja Jamnik · Giuseppe Marra
Workshop
Temporal Attention Bottleneck is informative? Interpretability through Disentangled Generative Representations for Energy Time Series Disaggregation
khalid OUBLAL · Said Ladjal · David Benhaiem · Emmanuel le-borgne · François Roueff
Poster
Tue 17:00 XAI Beyond Classification: Interpretable Neural Clustering
Xi Peng · Yunfan Li · Ivor W. Tsang · Hongyuan Zhu · Jiancheng Lv · Joey Tianyi Zhou