activity
20202025
most citedThe Dual Information Bottleneck

12 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2025

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling

Jonathan Karin, Zoe Piran, Mor Nitzan

Swarms, such as schools of fish or drone formations, are prevalent in both natural and engineered systems. While previous works have focused on the social interactions within swarm…

nlin.PS2024

TRENDy: Temporal Regression of Effective Nonlinear Dynamics

Matthew Ricci, Guy Pelc, Zoe Piran +2

Spatiotemporal dynamics pervade the natural sciences, from the morphogen dynamics underlying patterning in animal pigmentation to the protein waves controlling cell division. A cen…

cs.LG2024

Contrasting Multiple Representations with the Multi-Marginal Matching Gap

Zoe Piran, Michal Klein, James Thornton +1

Learning meaningful representations of complex objects that can be seen through multiple () views or modalities is a core task in machine learning. Existing methods use lo…

cs.LG2022★ 1 cited

Phase2vec: Dynamical systems embedding with a physics-informed convolutional network

Matthew Ricci, Noa Moriel, Zoe Piran +1

Dynamical systems are found in innumerable forms across the physical and biological sciences, yet all these systems fall naturally into universal equivalence classes: conservative…

cs.IT2020★ 12 cited

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…