Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold. - Kieran A. Murphy; Carlos Esteves; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (ICML, 2021)

There and back again: Cycle consistency across sets for isolating factors of variation. - Kieran A. Murphy; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (CoRR, 2021)

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. - Kieran A. Murphy; Varun Jampani; Srikumar Ramalingam; Ameesh Makadia (CVPR, 2022)

The Distributed Information Bottleneck reveals the explanatory structure of complex systems. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2022)

Characterizing information loss in a chaotic double pendulum with the Information Bottleneck. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2022)

Interpretability with full complexity by constraining feature information. - Kieran A. Murphy; Danielle S. Bassett (ICLR, 2023)

Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity. - Shubhankar Prashant Patankar; Mathieu Ouellet; Juan Cerviño; Alejandro Ribeiro; Kieran A. Murphy; Danielle S. Bassett (LoG, 2023)

Information decomposition to identify relevant variation in complex systems with machine learning. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2023)

Optimized measurements of chaotic dynamical systems via the information bottleneck. - Kieran A. Murphy; Dani S. Bassett (CoRR, 2023)

Comparing information content of representation spaces for disentanglement with VAE ensembles. - Kieran A. Murphy; Sam Dillavou; Dani S. Bassett (CoRR, 2024)

Which bits went where? Past and future transfer entropy decomposition with the information bottleneck. - Kieran A. Murphy; Zhuowen Yin; Dani S. Bassett (CoRR, 2024)

Surveying the space of descriptions of a composite system with machine learning. - Kieran A. Murphy; Yujing Zhang; Dani S. Bassett (CoRR, 2024)

Comparing the information content of probabilistic representation spaces. - Kieran A. Murphy; Sam Dillavou; Danielle S. Bassett (Trans. Mach. Learn. Res., 2025)