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Marc Klinger

Marc S. Klinger

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2020 – today

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2024
[j2]
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  - journals/entropy/BermanK24
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  - https://dblp.org/rec/journals/entropy/BermanK24
David S. Berman, Marc S. Klinger:
The Inverse of Exact Renormalization Group Flows as Statistical Inference. Entropy 26(5): 389 (2024)
[i6]
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  - journals/corr/abs-2402-00944
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David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
NCoder - A Quantum Field Theory approach to encoding data. CoRR abs/2402.00944 (2024)
[i5]
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  - journals/corr/abs-2405-17538
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Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton:
Bayesian RG Flow in Neural Network Field Theories. CoRR abs/2405.17538 (2024)
2023
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  - journals/mlst/BermanKS23
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David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
Bayesian renormalization. Mach. Learn. Sci. Technol. 4(4): 45011 (2023)
[i4]
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  - journals/corr/abs-2304-13182
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Marcus Abate, Ariel Schwartz, Xue Iuan Wong, Wangdong Luo, Rotem Littman, Marc Klinger, Lars Kuhnert, Douglas Blue, Luca Carlone:
Multi-Camera Visual-Inertial Simultaneous Localization and Mapping for Autonomous Valet Parking. CoRR abs/2304.13182 (2023)
[i3]
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  - journals/corr/abs-2305-10491
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David S. Berman, Marc S. Klinger, Alexander G. Stapleton:
Bayesian Renormalization. CoRR abs/2305.10491 (2023)
2022
[i2]
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  - journals/corr/abs-2204-12939
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David S. Berman, Jonathan J. Heckman, Marc Klinger:
On the Dynamics of Inference and Learning. CoRR abs/2204.12939 (2022)
[i1]
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  - journals/corr/abs-2212-11379
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David S. Berman, Marc S. Klinger:
The Inverse of Exact Renormalization Group Flows as Statistical Inference. CoRR abs/2212.11379 (2022)

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