2.5k citations · 4.7k across the 86 of their papers we have counts for
86 papers
Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
Tristan Shah, Ilya Nemenman, Daniel Polani +1
Intrinsic motivations are receiving increasing attention, i.e. behavioral incentives that are not engineered, but emerge from the interaction of an agent with its surroundings. In…
Randomness with constraints: constructing minimal models for high-dimensional biology
Ilya Nemenman, Pankaj Mehta
Biologists and physicists have a rich tradition of modeling living systems with simple models composed of a few interacting components. Despite the remarkable success of this appro…
Physics-tailored machine learning reveals unexpected physics in dusty plasmas
Wentao Yu, Eslam Abdelaleem, Ilya Nemenman +1
Dusty plasma is a mixture of ions, electrons, and macroscopic charged particles that is commonly found in space and planetary environments. The particles interact through Coulomb f…
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning
Eslam Abdelaleem, Ahmed Roman, K. Michael Martini +1
We explore two primary classes of approaches to dimensionality reduction (DR): Independent Dimensionality Reduction (IDR) and Simultaneous Dimensionality Reduction (SDR). In IDR me…
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
Eslam Abdelaleem, Ilya Nemenman, K. Michael Martini
Variational dimensionality reduction methods are widely used for their accuracy, generative capabilities, and robustness. We introduce a unifying framework that generalizes both su…
Extrinsic vs Intrinsic Criticality in Systems with Many Components
Vudtiwat Ngampruetikorn, Ilya Nemenman, David J. Schwab
Biological systems with many components often exhibit seemingly critical behaviors, characterized by atypically large correlated fluctuations. Yet the underlying causes remain uncl…