Kim Nicoli

According to our database, Kim Nicoli authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects.

Andrea Bulgarelli, Elia Cellini, Karl Jansen, Stefan Kühn, Alessandro Nada, Shinichi Nakajima, Kim A. Nicoli, Marco Panero

CoRR, 2024

Adaptive Observation Cost Control for Variational Quantum Eigensolvers.

Christopher J. Anders, Kim Andrea Nicoli, Bingting Wu, Naima Elosegui, Samuele Pedrielli, Lena Funcke, Karl Jansen, Stefan Kühn, Shinichi Nakajima

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Deep generative models for thermodynamics of spin systems and field theories

Kim Andrea Nicoli

PhD thesis, 2023

Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories.

Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima

CoRR, 2023

Physics-Informed Bayesian Optimization of Variational Quantum Circuits.

Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows.

Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel

Mach. Learn. Sci. Technol., December, 2022

Path-Gradient Estimators for Continuous Normalizing Flows.

Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel

Proceedings of the International Conference on Machine Learning, 2022

2021

Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse.

Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati

CoRR, 2021

2020

On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models.

Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati

CoRR, 2020

2019

Asymptotically Unbiased Generative Neural Sampling.

Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel

CoRR, 2019

Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.

Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima

CoRR, 2019