| Transforming mesoscale granular plasticity through particle shape KA Murphy, KA Dahmen, HM Jaeger Physical Review X 9 (1), 011014, 2019 | 82 | 2019 |
| Implicit-pdf: Non-parametric representation of probability distributions on the rotation manifold K Murphy, C Esteves, V Jampani, S Ramalingam, A Makadia Proceedings of the 38th International Conference on Machine Learning 139 …, 2021 | 70 | 2021 |
| Freestanding loadbearing structures with Z-shaped particles KA Murphy, N Reiser, D Choksy, CE Singer, HM Jaeger Granular Matter 18 (2), 26, 2016 | 53 | 2016 |
| Memory in nonmonotonic stress relaxation of a granular system KA Murphy, JW Kruppe, HM Jaeger Physical Review Letters 124 (16), 168002, 2020 | 16 | 2020 |
| Aleatory Construction Based on Jamming: Stability Through Self‐Confinement K Murphy, L Roth, D Peterman, H Jaeger Architectural Design 87 (4), 74-81, 2017 | 15 | 2017 |
| The intertwined roles of particle shape and surface roughness in controlling the shear strength of a granular material KA Murphy, AK MacKeith, LK Roth, HM Jaeger Granular Matter 21 (3), 72, 2019 | 12 | 2019 |
| Edges control clustering in levitated granular matter MX Lim, KA Murphy, HM Jaeger Granular Matter 21, 1-8, 2019 | 11 | 2019 |
| The distributed information bottleneck reveals the explanatory structure of complex systems KA Murphy, DS Bassett arXiv preprint arXiv:2204.07576, 2022 | 8 | 2022 |
| Tuning the mechanical impedance of disordered networks for impact mitigation MA Reyes-Martinez, EP Chan, CL Soles, E Han, KA Murphy, HM Jaeger, ... Soft Matter 18 (10), 2039-2045, 2022 | 5 | 2022 |
| Interpretability with full complexity by constraining feature information KA Murphy, DS Bassett The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
| Information decomposition in complex systems via machine learning KA Murphy, DS Bassett Proceedings of the National Academy of Sciences 121 (13), e2312988121, 2024 | 3* | 2024 |
| Machine-Learning Optimized Measurements of Chaotic Dynamical Systems via the Information Bottleneck KA Murphy, DS Bassett Physical Review Letters 132 (19), 197201, 2024 | 2 | 2024 |
| Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision KA Murphy, V Jampani, S Ramalingam, A Makadia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
| Designed to fail: granular plasticity and particle shape K Murphy, H Jaeger | 2 | 2018 |
| Intrinsically motivated graph exploration using network theories of human curiosity SP Patankar, M Ouellet, J Cervino, A Ribeiro, KA Murphy, DS Bassett arXiv preprint arXiv:2307.04962, 2023 | 1 | 2023 |
| The Information Bottleneck and the double pendulum: Using machine learning to study how chaos destroys information K Murphy, D Bassett APS March Meeting Abstracts 2023, K01. 007, 2023 | 1 | 2023 |
| Architectured Particulate Materials H Jaeger, K Murphy, L Roth | 1 | 2018 |
| Adaptive Granular Matter KA Murphy, LK Roth, HM Jaeger | 1 | 2017 |
| Comparing information content of representation spaces for disentanglement with VAE ensembles KA Murphy, S Dillavou, DS Bassett arXiv preprint arXiv:2405.21042, 2024 | | 2024 |
| Coloring a chaotic attractor with machine learning: Optimized measurements of chaotic dynamical systems via the information bottleneck K Murphy, D Bassett Bulletin of the American Physical Society, 2024 | | 2024 |
Heinrich JaegerUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
