More from the Same Authors

• 2021 : Advanced Methods for Connectome-Based Predictive Modeling of Human Intelligence: A Novel Approach Based on Individual Differences in Cortical Topography »
  Evan Anderson · Anuj Nayak · Pablo Robles-Granda · Lav Varshney · Been Kim · Aron K Barbey
• 2022 : Concept-based Understanding of Emergent Multi-Agent Behavior »
  Niko Grupen · Shayegan Omidshafiei · Natasha Jaques · Been Kim
• 2022 : Panel: Explainability/Predictability Robotics (Q&A 4) »
  Katherine Driggs-Campbell · Been Kim · Leila Takayama
• 2022 : Panel Discussion »
  Kamalika Chaudhuri · Been Kim · Dorsa Sadigh · Huan Zhang · Linyi Li
• 2022 : Invited Talk: Been Kim »
  Been Kim
• 2022 Poster: Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis »
  Shayegan Omidshafiei · Andrei Kapishnikov · Yannick Assogba · Lucas Dixon · Been Kim
• 2019 : Responsibilities »
  Been Kim · Liz O'Sullivan · Friederike Schuur · Andrew Smart · Jacob Metcalf
• 2017 : Invited Talk 1 »
  Been Kim
• 2016 Workshop: Interpretable Machine Learning for Complex Systems »
  Andrew Wilson · Been Kim · William Herlands
• 2016 Oral: Examples are not enough, learn to criticize! Criticism for Interpretability »
  Been Kim · Sanmi Koyejo · Rajiv Khanna
• 2016 Poster: Examples are not enough, learn to criticize! Criticism for Interpretability »
  Been Kim · Sanmi Koyejo · Rajiv Khanna
• 2015 Poster: Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction »
  Been Kim · Julie A Shah · Finale Doshi-Velez
• 2014 Poster: The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification »
  Been Kim · Cynthia Rudin · Julie A Shah