Kieran A. Murphy

According to our database, Kieran A. Murphy authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Comparing information content of representation spaces for disentanglement with VAE ensembles.

Kieran A. Murphy, Sam Dillavou, Dani S. Bassett

CoRR, 2024

2023

Optimized measurements of chaotic dynamical systems via the information bottleneck.

Kieran A. Murphy, Dani S. Bassett

CoRR, 2023

Information decomposition to identify relevant variation in complex systems with machine learning.

Kieran A. Murphy, Dani S. Bassett

CoRR, 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

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Interpretability with full complexity by constraining feature information.

Kieran A. Murphy, Danielle S. Bassett

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Characterizing information loss in a chaotic double pendulum with the Information Bottleneck.

Kieran A. Murphy, Dani S. Bassett

CoRR, 2022

The Distributed Information Bottleneck reveals the explanatory structure of complex systems.

Kieran A. Murphy, Dani S. Bassett

CoRR, 2022

Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision.

Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold.

Kieran A. Murphy, Carlos Esteves, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia

Proceedings of the 38th International Conference on Machine Learning, 2021