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2020 – today
- 2024
[c3]Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima:
Adaptive Observation Cost Control for Variational Quantum Eigensolvers. ICML 2024- [i9]Kim A. 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. CoRR abs/2406.06150 (2024) - [i8]Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero:
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects. CoRR abs/2410.14466 (2024) - 2023
- [b1]Kim Andrea Nicoli:
Deep generative models for thermodynamics of spin systems and field theories. TU Berlin, Germany, 2023 - [c2]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 - [i7]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
- [j1]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) - [c1]Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. ICML 2022: 21945-21959 - [i6]Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. CoRR abs/2206.09016 (2022) - [i5]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
- [i4]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
- [i3]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
- 2019
- [i2]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) - [i1]Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel:
Asymptotically Unbiased Generative Neural Sampling. CoRR abs/1910.13496 (2019)
Coauthor Index
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