Kim A. Nicoli

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adaptive Observation Cost Control for Variational Quantum Eigensolvers.
CoRR
Christopher J. Anders, Kim A. Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2025 J jnl
Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers.
CoRR
Samuele Pedrielli, Christopher J. Anders, Lena Funcke, Karl Jansen, Kim A. Nicoli, Shinichi Nakajima
2025 J jnl
Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers.
CoRR
Kim A. Nicoli, Luca J. Wagner, Lena Funcke
2025 J jnl
Multilevel Generative Samplers for Investigating Critical Phenomena.
CoRR
Ankur Singha, Elia Cellini, Kim A. Nicoli, Karl Jansen, Stefan Kühn, Shinichi Nakajima
2025 J jnl
SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows.
CoRR
Janik Kreit, Dominic Schuh, Kim A. Nicoli, Lena Funcke
2025 J jnl
Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows.
CoRR
Dominic Schuh, Janik Kreit, Evan Berkowitz, Lena Funcke, Thomas Luu, Kim A. Nicoli, Marcel Rodekamp
2025 J jnl
Simulating the Hubbard Model with Equivariant Normalizing Flows.
CoRR
Dominic Schuh, Janik Kreit, Evan Berkowitz, Lena Funcke, Thomas Luu, Kim A. Nicoli, Marcel Rodekamp
2024 J jnl
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects.
CoRR
Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero
2024 J jnl
Physics-Informed Bayesian Optimization of Variational Quantum Circuits.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2023 J jnl
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories.
CoRR
Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima
2022 J jnl
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows.
CoRR
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2022 J jnl
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows.
Mach. Learn. Sci. Technol.
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2022 J jnl
Path-Gradient Estimators for Continuous Normalizing Flows.
CoRR
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2021 J jnl
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
2020 J jnl
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
2019 J jnl
Asymptotically Unbiased Generative Neural Sampling.
CoRR
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel