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Kim Nicoli

Kim A. Nicoli – Kim Andrea Nicoli

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2020 – today

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2023
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Kim Andrea Nicoli:
Deep generative models for thermodynamics of spin systems and field theories. TU Berlin, Germany, 2023
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Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima:
Physics-Informed Bayesian Optimization of Variational Quantum Circuits. NeurIPS 2023
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Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima:
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories. CoRR abs/2302.14082 (2023)
2022
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Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows. Mach. Learn. Sci. Technol. 3(4): 45006 (2022)
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Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. ICML 2022: 21945-21959
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Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. CoRR abs/2206.09016 (2022)
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Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows. CoRR abs/2207.08219 (2022)
2021
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Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse. CoRR abs/2111.11303 (2021)
2020
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  - journals/corr/abs-2007-07115
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Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. CoRR abs/2007.07115 (2020)

2010 – 2019

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2019
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Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima:
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR abs/1903.11048 (2019)
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  - journals/corr/abs-1910-13496
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Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel:
Asymptotically Unbiased Generative Neural Sampling. CoRR abs/1910.13496 (2019)

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