The Brindell and Milton Gottlieb Auditorium, The Rothberg Family buildings,
Rachel and Selim Benin School of Computer Science and Engineering
Edmond J. Safra Campus, Jerusalem
Organizing committee: Naftali Tishby, Yair Weiss and Israel Nelken
Session 1: Information & Control – What’s the connection?
Chair: Yair Weiss
Naftali Tishby – The Hebrew University of Jerusalem, Israel –
The Synergy between Information and Control
Sanjoy Mitter – Massachusetts Institute of Technology, USA –
Information and Entropy Flow in Estimation and Control
Susanne Still [Online video talk] – University of Hawaii, USA–
Optimal Information Processing: Dissipation and Irrelevant Information
Bert Kappen – Radboud University, Netherlands and University College London, UK
Integrating control, inference and learning. Is it what the brain does?
Session 2: Sensorimotor Loops and Decision Making
Chairs: Israel Nelken & Naama Brenner
Kenji Doya – Okinawa Institute of Science and Technology, Japan–
Neural Circuit Mechanisms of Mental Simulation
Daniel Wolpert –University of Cambridge, UK –
Yifat Prut –The Hebrew University of Jerusalem –
Inhibitory control of motor timing
Fritz Sommer – University of California, Berkeley, USA –
Information-theory based policies for exploratory learning in sensorimotor loops
Session 3: Cognition and Embodiment
Chair: Ron Meir
Andrea Cavagna –Institute for Complex System, Italy –
Information transfer and behavioral inertia in starling flocks
Shai Shalev-Shwartz – The Hebrew University of Jerusalem & Mobileye –
Deep Reinforcement Learning for Driving Policy
Nihat Ay – Max Planck Institute for Mathematics in the Science, Germany–
Mathematical Aspects of Embodied Intelligence
Daniel Polani – University of Hertfordshire, UK–
Informational Drivers of Cognition
Session 4: Neural coding and representation
Chair: Yifat Prut
Reza Shadmehr – Johns Hopkins University –
Encoding of action by the Purkinje cells of the cerebellum
Ron Meir –Technion – Israel Institute of Technology, Israel –
Optimal Neural Codes for Estimation and Control
Máté Lengyel – University of Cambridge, UK–
Neural variability and sampling-based probabilistic representations in the visual cortex
Tatyana Sharpee – Salk Institute for Biological Studies, USA–
How Invariant feature selectivity is achieved in cortex
Session 5: Learning to decide and behave
Chair: Amir Globerson
Alexandre Pouget –University of Geneva, Switzerland –
Optimal policies for value-based decision making
Satinde Singh Baveja– University of Michigan, USA–
Rethinking State Action and Reward in Reinforcement Learning
Shie Mannor – Technion – Israel Institute of Technology –
Regularization and Robustness in Reinforcement Learning
Takashi Tanaka – KTH Royal Institute of Technology, Sweden–
LQG Control with Minimum Directed Information: A Semidefinite Programming Approach
Session 6: Predictions, Adaptation and Planning
Chair: Shie Mannor
Naama Brenner – Technion – Israel Institute of
Technology, Israel –
Exploratory adaptation in random networks
Amir Globerson – Tel Aviv University, Israel –
Variational Conditional Probabilities
Israel Nelken – The Hebrew University of Jerusalem, Israel –
Information-theoretic bounds and brains: prediction and planning
Talk abstracts (PDF)
Directions to the conference venue click here
Video lectures channel on YouTubeposter-icl-2016.jpg
Event contact information:
For questions and comments please contact Alona Shani-Narkiss: alona.narkiss@elsc.huji.ac.il
