Solving the Cosmological Vlasov-Poisson Equations with Physics-Informed Kolmogorov-Arnold Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Cerardi, Nicolas, Tolley, Emma, Mishra, Ashutosh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks
by: Mishra, Ashutosh Kumar, et al.
Published: (2025)
by: Mishra, Ashutosh Kumar, et al.
Published: (2025)
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference
by: Cerardi, Nicolas, et al.
Published: (2025)
by: Cerardi, Nicolas, et al.
Published: (2025)
Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-Term Memory and Efficient-Kolmogorov-Arnold Networks
by: Cui, Jiaxing, et al.
Published: (2025)
by: Cui, Jiaxing, et al.
Published: (2025)
Radio-Interferometric Image Reconstruction with Denoising Diffusion Restoration Models
by: Morales, Michel, et al.
Published: (2026)
by: Morales, Michel, et al.
Published: (2026)
Simulation-Based Cosmological Mass Calibration of XXL Galaxy Clusters using HSC Weak Lensing
by: Tam, Sut-Ieng, et al.
Published: (2026)
by: Tam, Sut-Ieng, et al.
Published: (2026)
Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction
by: Paliathanasis, Andronikos
Published: (2026)
by: Paliathanasis, Andronikos
Published: (2026)
Constraining the Cosmological Constant from Stellar Orbits Around Sgr A* Using Physics-Informed Neural Networks
by: Eyama, Shinsei, et al.
Published: (2025)
by: Eyama, Shinsei, et al.
Published: (2025)
C3NN-SBI: Learning Hierarchies of $N$-Point Statistics from Cosmological Fields with Physics-Informed Neural Networks
by: Lehman, Kai, et al.
Published: (2026)
by: Lehman, Kai, et al.
Published: (2026)
The cosmological analysis of X-ray cluster surveys: VI. Inference based on analytically simulated observable diagrams
by: Kosiba, M., et al.
Published: (2024)
by: Kosiba, M., et al.
Published: (2024)
Combining summary statistics with simulation-based inference for the 21 cm signal from the Epoch of Reionization
by: Semelin, Benoit, et al.
Published: (2024)
by: Semelin, Benoit, et al.
Published: (2024)
From Vlasov-Poisson to Schrödinger-Poisson: dark matter simulation with a quantum variational time evolution algorithm
by: Cappelli, Luca, et al.
Published: (2023)
by: Cappelli, Luca, et al.
Published: (2023)
Inferring Cosmological Parameters with Evidential Physics-Informed Neural Networks
by: Tan, Hai Siong
Published: (2025)
by: Tan, Hai Siong
Published: (2025)
Progress in Particle Physics and Modern Cosmology
by: Dolgov, A. D.
Published: (2026)
by: Dolgov, A. D.
Published: (2026)
Late-Time Resolution of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks
by: Yarahmadi, Muhammad, et al.
Published: (2026)
by: Yarahmadi, Muhammad, et al.
Published: (2026)
New applications of Graph Neural Networks in Cosmology
by: Farsian, Farida, et al.
Published: (2022)
by: Farsian, Farida, et al.
Published: (2022)
Vlasov Perturbation Theory and the role of higher cumulants
by: Garny, Mathias, et al.
Published: (2025)
by: Garny, Mathias, et al.
Published: (2025)
Cosmological Inference with Cosmic Voids and Neural Network Emulators
by: Lehman, Kai, et al.
Published: (2025)
by: Lehman, Kai, et al.
Published: (2025)
Improving Convolutional Neural Networks for Cosmological Fields with Random Permutation
by: Zhong, Kunhao, et al.
Published: (2024)
by: Zhong, Kunhao, et al.
Published: (2024)
Implicit inference of the reionization history with higher-order statistics of the 21-cm signal
by: Cerardi, Nicolas, et al.
Published: (2025)
by: Cerardi, Nicolas, et al.
Published: (2025)
Cosmology-informed Neural Networks to infer dark energy equation-of-state
by: Verma, Anshul, et al.
Published: (2025)
by: Verma, Anshul, et al.
Published: (2025)
Cracks in the Standard Cosmological Model: Anomalies, Tensions, and Hints of New Physics
by: Di Valentino, Eleonora
Published: (2026)
by: Di Valentino, Eleonora
Published: (2026)
Exploring Late-Time Cosmic Acceleration in VCDM Cosmology
by: Mishra, Sai Swagat, et al.
Published: (2026)
by: Mishra, Sai Swagat, et al.
Published: (2026)
Numerical Cosmology
by: Teyssier, Romain
Published: (2025)
by: Teyssier, Romain
Published: (2025)
Cosmological Frequency Combs
by: Trivedi, Oem, et al.
Published: (2025)
by: Trivedi, Oem, et al.
Published: (2025)
Cosmology with voids
by: Bromley, Benjamin C., et al.
Published: (2024)
by: Bromley, Benjamin C., et al.
Published: (2024)
Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks
by: Kvasiuk, Yurii, et al.
Published: (2024)
by: Kvasiuk, Yurii, et al.
Published: (2024)
Constraints on Cosmological Models with Gamma-Ray Bursts in Cosmology-Independent Way
by: Xie, Hanbei, et al.
Published: (2023)
by: Xie, Hanbei, et al.
Published: (2023)
Tracing Cosmological Signature with Doppler Lensing: Insights from Cosmological Simulations
by: Fuad, Mubtasim, et al.
Published: (2026)
by: Fuad, Mubtasim, et al.
Published: (2026)
DESI Dark Energy Time Evolution is Recovered by Cosmologically Coupled Black Holes
by: Croker, Kevin S., et al.
Published: (2024)
by: Croker, Kevin S., et al.
Published: (2024)
Future Cosmology: New Physics and Opportunity from the China Space Station Telescope (CSST)
by: Gong, Yan, et al.
Published: (2025)
by: Gong, Yan, et al.
Published: (2025)
Inferring Cosmological Parameters on SDSS via Domain-Generalized Neural Networks and Lightcone Simulations
by: Lee, Jun-Young, et al.
Published: (2024)
by: Lee, Jun-Young, et al.
Published: (2024)
Cosmology with Galaxy Clusters
by: Miyatake, Hironao
Published: (2025)
by: Miyatake, Hironao
Published: (2025)
Cosmology with Cosmic Voids
by: Cai, Yan-Chuan, et al.
Published: (2025)
by: Cai, Yan-Chuan, et al.
Published: (2025)
Cosmological intercept tension
by: Wang, Jia-Qi, et al.
Published: (2026)
by: Wang, Jia-Qi, et al.
Published: (2026)
The Cosmological Parameters (2025)
by: Cortês, Marina, et al.
Published: (2026)
by: Cortês, Marina, et al.
Published: (2026)
The Cosmological Parameters (2023)
by: Lahav, Ofer, et al.
Published: (2024)
by: Lahav, Ofer, et al.
Published: (2024)
Testing the Distance Duality Relation with Cosmological Observations at high Redshift using Artificial Neural Network
by: Xie, Yukang, et al.
Published: (2025)
by: Xie, Yukang, et al.
Published: (2025)
Cosmology with the Laser Interferometer Space Antenna
by: Auclair, Pierre, et al.
Published: (2022)
by: Auclair, Pierre, et al.
Published: (2022)
Cosmology with HI
by: Padmanabhan, Hamsa
Published: (2024)
by: Padmanabhan, Hamsa
Published: (2024)
Emulating Recombination with Neural Networks using Universal Differential Equations
by: Pennell, Ben, et al.
Published: (2024)
by: Pennell, Ben, et al.
Published: (2024)
Similar Items
-
SPINN: Advancing Cosmological Simulations of Fuzzy Dark Matter with Physics Informed Neural Networks
by: Mishra, Ashutosh Kumar, et al.
Published: (2025) -
The Cosmological analysis of X-ray cluster surveys VII. Bypassing scaling relations with Lagrangian Deep Learning and Simulation-based inference
by: Cerardi, Nicolas, et al.
Published: (2025) -
Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-Term Memory and Efficient-Kolmogorov-Arnold Networks
by: Cui, Jiaxing, et al.
Published: (2025) -
Radio-Interferometric Image Reconstruction with Denoising Diffusion Restoration Models
by: Morales, Michel, et al.
Published: (2026) -
Simulation-Based Cosmological Mass Calibration of XXL Galaxy Clusters using HSC Weak Lensing
by: Tam, Sut-Ieng, et al.
Published: (2026)