2d Annual Michigan AI Lab Mini-Symposium

Tuesday 29 April 2014, 3725 BBB

A special symposium to present the latest research to come out of the Michigan AI Lab, and celebrate our research accomplishments. The program will comprise presentations by AI Lab grad students of research results presented at conferences over this academic year.

All are welcome to attend.  So that we can get an accurate headcount for food planning, please RSVP by clicking here.

Schedule Overview

8:20  Refreshments available
8:40  Welcome (Wellman)
8:45  Session 1 (7 papers)
10:09  break
10:25  Recognition of student achievements (Baveja)
10:35  Session 2 (7 papers)
11:59  break to pick up and start lunch
12:18  Session 3 (6 papers)
13:30  (program complete)

Detailed List of Presentations, by Session

** indicates presenter

Session 1

ICCM (Jul 13 / Ottawa, ON)

International Conference on Cognitive Modelling

  • The computational problem of prospective memory retrieval
    • **Justin Li and John E. Laird

ACL (Aug 13 / Sofia)

Annual Meeting of the Association for Computational Linguistics

  • A system for summarizing scientific topics starting from keywords
    • **Rahul Jha, Amjad Abu-Jbara, and Dragomir Radev
  • Utterance-level multimodal sentiment analysis
    • **Veronica Perez-Rosas, Rada Mihalcea and Louis-Philippe Morency

BMVC (Sep 13 / Bristol, UK)

British Machine Vision Conference

  • Focusing attention on visual features that matter
    • **Grace Tsai and Benjamin Kuipers

IROS (Nov 13 / Tokyo)

IEEE/RSJ International Conference on Intelligent Robots and Systems

  • AprilCal: Assisted and repeatable camera calibration
    • **Andrew Richardson, Johannes Strom, and Edwin Olson
  • Inferring categories to accelerate the learning of new classes
    • **Robert Goeddel and Edwin Olson
  • Predicting object functionality using physical simulations
    • **Lauren Hinkle and Edwin Olson

Session 2

NIPS (Dec 13 / Lake Tahoe, NV)

Neural Information Processing Systems Conference

  • Adaptive multi-column deep neural networks with application to robust image denoising
    • **Forest Agostinelli, Michael R. Anderson, and Honglak Lee
  • Reward mapping for transfer in long-lived agents
    • **Xiaoxiao Guo, Satinder Singh, and Richard L. Lewis

ACS (Dec 13 / Baltimore, MD)

Conference on Advances in Cognitive Systems

  • Learning task formulations through situated interactive instruction
    • **James R. Kirk and John E. Laird

ICASSP (May 14 / Florence)

International Conference on Acoustics, Speech and Signal Processing

  • Automatic analysis of speech quality for aphasia treatment
    • **Duc Le, Keli Licata, Elizabeth Mercado, Carol Persad, and Emily Mower Provost

AAMAS (May 14 / Paris)

International Conference on Autonomous Agents and Multi-Agent Systems

  • Bootstrap statistics for empirical games
    • **Bryce Wiedenbeck, Ben-Alexander Cassell, and Michael Wellman
  • Improving UCT planning via approximate homomorphisms
    • **Nan Jiang, Satinder Singh, and Richard Lewis
  • Signal structure and strategic information acquisition
    • **Erik Brinkman, Michael Wellman, and Scott Page

Session 3

EC (Jun 14 / Palo Alto, CA)

ACM Conference on Economics and Computation

  • Characterization of strategic cascades on networks
    • **Travis Martin, Grant Schoenebeck, and Michael P. Wellman
  • Information aggregation in exponential family markets
    • **Sindhu Kutty, Jacob Abernethy, Sébastien Lahaie, and Rahul Sami

ICML (Jun 14 / Beijing)

International Conference on Machine Learning

  • Learning representations for interacting manifolds with higher-order Boltzmann machines
    • **Scott Reed, Kihyuk Sohn, Yuting Zhang, and Honglak Lee

AAAI (Jul 14 / Quebec City)

AAAI Conference on Artificial Intelligence

  • Evaluating trauma patients: Addressing missing covariates using joint optimization
    • **Alexander Van Esbroeck, Satinder Singh, Ilan Rubinfeld, and Zeeshan Syed
  • Learning goal-oriented hierarchical tasks from situated interactive instruction
    • **Shiwali Mohan and John E. Laird
  • Multiagent metareasoning through organizational design
    • **Jason Sleight and Edmund Durfee