Kim A. Nicoli

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Sampling Strategies

Kullback Leibler

Generative Model

Gradient Estimators

Top Venues

Mach. Learn. Sci. Technol.

Publications

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 (2024)
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 (2023)
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
Path-Gradient Estimators for Continuous Normalizing Flows. CoRR (2022)
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 (2022)
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) (2022)
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 (2021)
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 (2020)
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
Asymptotically Unbiased Generative Neural Sampling. CoRR (2019)