Explainable AI for the Sciences: Towards Novel Insights

Part of the Workshop Explainable AI for the Sciences: Towards Novel Insights
January 9 - 13, 2023

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, January 9, 2023

Morning Session
8:00 - 8:55 Breakfast (hosted by IPAM)
8:55 - 9:00 Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
9:00 Session Chair: Tulay Adali
9:00 - 9:50
10:00 - 10:15 Break
10:15 - 11:05
Klaus-Robert Müller (Technische Universität Berlin)

Virtual Talk:

 
11:15 - 11:30 Break
11:30 - 12:20
12:30 - 2:30 Lunch (on your own)

Afternoon Session
2:30 - 3:20
Jaesik Choi (Korea Advanced Institute of Science and Technology (KAIST))

Explainable Artificial Intelligence to Analyze Internal Decision Mechanism of Deep Neural Networks

 
3:30 - 3:50 Break
3:50 - 4:40
Bin Yu (University of California, Berkeley (UC Berkeley))

Virtual Talk: Interpreting Deep Neural Networks towards Trustworthiness

 
4:45 - 5:20 Lightning Poster Session
5:20 - 6:30 Poster Session & Reception (Hosted by IPAM)

Tuesday, January 10, 2023

Morning Session
8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 SESSION CHAIR: Michele Ceriotti
9:00 - 9:50
Osbert Bastani (University of Pennsylvania)

Interpretable Machine Learning via Program Synthesis

 
10:00 - 10:15 Break
10:15 - 11:05
Wojciech Samek (Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI)

Virtual Talk: Concept-Level Explainable AI
PDF Presentation

 
11:15 - 11:30 Break
11:30 - 12:20
12:30 - 2:30 Lunch (on your own)

Afternoon Session
2:30 - 3:20
Frederick Klauschen (Ludwig-Maximilians-Universität München)

AI in cancer research and diagnostics

 

Wednesday, January 11, 2023

Morning Session
8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 SESSION CHAIR: Pamela Douglas
9:00 - 9:50
10:00 - 10:15 Break
10:15 - 11:05
Michele Ceriotti (École Polytechnique Fédérale de Lausanne (EPFL))

Physical insights from atomic-scale machine learning

 
11:15 - 11:30 Break
11:30 - 12:20
Cecilia Clementi (Freie Universität Berlin)

 

 
12:30 - 2:30 Lunch (on your own)

Afternoon Session
2:30 - 3:20
3:30 - 3:50 Break
3:50 - 4:40
 

Thursday, January 12, 2023

Morning Session
8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 - 9:50
André Freitas (University of Manchester)

Building explanation machines for science: a neuro-symbolic perspective

 
10:00 - 10:15 Break
10:15 - 11:05
Matteo Valleriani (Technische Universität Berlin)

XAI Historian

 
11:15 - 11:30 Break
11:30 - 12:20
12:30 - 2:30 Lunch (on your own)

Afternoon Session
2:30 - 3:20
Anders Søgaard (University of Copenhagen)

What’s Opaque to Whom - and Why?
PDF Presentation

 
3:30 - 3:50 Break
3:50 - 4:40 Panel Discussion

Friday, January 13, 2023

Morning Session
8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 - 9:50
Vince Calhoun (Georgia Institute of Technology)

 

 
10:00 - 10:15 Break
10:15 - 11:05
Pamela Douglas (UCLA Medical School)

 

 
11:15 - 11:30 Break
11:30 - 12:20
Nikolaus Kriegeskorte (Columbia University)

Controversial stimuli: Optimizing experiments to adjudicate among computational hypotheses

 
12:30 - 2:30 Lunch (on your own)

Afternoon Session
2:30 - 3:20
Lisa Nickerson (Harvard Medical School)

Addressing Confounds in Neuroimaging Machine Learning Predictions