Schedule

AI in Team Sport
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Schedule and Accepted Papers

Tim​e
Talk Title
Speakers
9:00-9:15
Introduction
Ryan Beal
9:15-9:45
Valuing Sports Actions and Players with Inverse Reinforcement Learning
Yudong Luo and Oliver Schulte
9:45-10:15
PuckNet: Estimating hockey puck location from broadcast video
Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A Clausi and John Zelek
10:15-10:45
Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End
Kotaro Ataka, Wataru Noguchi, Hiroyuki Iizuka and Masahito Yamamoto
10:45-11:00
Coffee Break and Posters
N/A
11:00-11:45
Keynote 1 - Dynamic analysis of team strategy in professional soccer
Laurie Shaw (Harvard)
11:45-12:15
Interpretable Prediction of Goals in Soccer
Tom Decroos and Jesse Davis
12:15-12:45
Basketball strategy design: a simulation approach
Guilherme Otranto, Leonardo Lamas and Junior Barrera
12:45-13:45
Lunch Break and Posters
N/A
13:45-14:15
Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP
Maaike Van Roy, Pieter Robberechts, Tom Decroos and Jesse Davis
14:15-15:00
Keynote 2 - Interactive Sports Analytics
Patrick Lucey (STATSPerform)
15:00-15:30
Learning Contextualized Player Representations with A Variational Hierarchical Encoder
Guiliang Liu and Oliver Schulte
15:30-16:00
Coffee Break and Posters
N/A
16:00-16:30
Keynote 3 - Real-Time Sports Analytics
Mehrsan Javan (Sportloqiq)
16:30-17:15
Q&A Panel Session
Chair - Tim Swartz
​Panel - TBC
17:15-17:30
Closing Remarks
Ryan Beal
17:30-Onwards
Networking Drinks - "The Irish Pub"
N/A
*Please note that this may be subject to change

Accepted Papers

Presentations:
(click to download file)
  1. Basketball strategy design: a simulation approach - Guilherme Otranto, Leonardo Lamas and Junior Barrera
  2. Valuing Sports Actions and Players with Inverse Reinforcement Learning - Yudong Luo and Oliver Schulte
  3. PuckNet: Estimating hockey puck location from broadcast video - Kanav Vats, William McNally, Chris Dulhanty, Zhong Qiu Lin, David A Clausi and John Zelek
  4. Learning Contextualized Player Representations with A Variational Hierarchical Encoder - Guiliang Liu and Oliver Schulte
  5. Valuing On-the-Ball Actions in Soccer: A Critical Comparison of xT and VAEP - Maaike Van Roy, Pieter Robberechts, Tom Decroos and Jesse Davis
  6. Interpretable Prediction of Goals in Soccer - Tom Decroos and Jesse Davis
  7. Learning of Evaluation Function in Digital Curling Considering the Probability of Scores at Each End - Kotaro Ataka, Wataru Noguchi, Hiroyuki Iizuka and Masahito Yamamoto

Posters:
  1. Challenges and opportunities for computer vision in real-life soccer analytics - Neha Bhargava and Fabio Cuzzolin
  2. Pass in Human Style: Learning Soccer Game Patterns from Spatiotemporal Data - Victor Khaustov, Georgii Mola Bogdan and Maxim Mozgovoy
  3. Learning Believable Player Movement Patterns from Human Data in a Soccer Game - Victor Khaustov and Maxim Mozgovoy
  4. The Data Gap in Sports Analytics and How to Close It - Alon Harell and Ivan V. Bajic
  5. Towards Automated Swimming Analytics Using Deep Neural Networks - Timothy Woinoski, Alon Harell and Ivan Bajić
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