2.5k citations · 6.2k across the 36 of their papers we have counts for
41 papers
Intrinsic Motivation in Dynamical Control Systems
Stas Tiomkin, Ilya Nemenman, Daniel Polani +1
Biological systems often choose actions without an explicit reward signal, a phenomenon known as intrinsic motivation. The computational principles underlying this behavior remain…
Detecting chaos in lineage-trees: A deep learning approach
Hagai Rappeport, Irit Levin Reisman, Naftali Tishby +1
Many complex phenomena, from weather systems to heartbeat rhythm patterns, are effectively modeled as low-dimensional dynamical systems. Such systems may behave chaotically under c…
Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems
Shlomi Agmon, Etam Benger, Or Ordentlich +1
In rate-distortion (RD) problems one seeks reduced representations of a source that meet a target distortion constraint. Such optimal representations undergo topological transition…
The Dual Information Bottleneck
Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby
The Information Bottleneck (IB) framework is a general characterization of optimal representations obtained using a principled approach for balancing accuracy and complexity. Here…
Semantic categories of artifacts and animals reflect efficient coding
Noga Zaslavsky, Terry Regier, Naftali Tishby +1
It has been argued that semantic categories across languages reflect pressure for efficient communication. Recently, this idea has been cast in terms of a general information-theor…
Machine learning and the physical sciences
Giuseppe Carleo, Ignacio Cirac, Kyle Cranmer +5
Machine learning encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent…