Saved in:
| Main Authors: | Richmond, Paul, Agarwal, Prarit, Chowdhury, Borun, Niarchos, Vasilis, Papageorgakis, Constantinos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.03716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Networks, Dispersion Relations and the Thermal Bootstrap
by: Niarchos, Vasilis, et al.
Published: (2026)
by: Niarchos, Vasilis, et al.
Published: (2026)
Type-B Anomaly Matching and the 6D (2,0) Theory
by: Niarchos, Vasilis, et al.
Published: (2019)
by: Niarchos, Vasilis, et al.
Published: (2019)
Learning S-Matrix Phases with Neural Operators
by: Niarchos, V., et al.
Published: (2024)
by: Niarchos, V., et al.
Published: (2024)
(Mis-)Matching Type-B Anomalies on the Higgs Branch
by: Niarchos, Vasilis, et al.
Published: (2020)
by: Niarchos, Vasilis, et al.
Published: (2020)
Covariantly Constant Anomalies on Conformal Manifolds
by: Andriolo, Enrico, et al.
Published: (2022)
by: Andriolo, Enrico, et al.
Published: (2022)
Efficient Conformal Block Evaluation with GoBlocks
by: Chryssanthacopoulos, James, et al.
Published: (2026)
by: Chryssanthacopoulos, James, et al.
Published: (2026)
When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning
by: Niarchos, Vasilis, et al.
Published: (2026)
by: Niarchos, Vasilis, et al.
Published: (2026)
Deep Finite Temperature Bootstrap
by: Niarchos, V., et al.
Published: (2025)
by: Niarchos, V., et al.
Published: (2025)
Scattering, Absorption and Emission of Highly Excited Strings
by: Firrotta, Maurizio, et al.
Published: (2024)
by: Firrotta, Maurizio, et al.
Published: (2024)
Lost in the Middle at Birth: An Exact Theory of Transformer Position Bias
by: Chowdhury, Borun D
Published: (2026)
by: Chowdhury, Borun D
Published: (2026)
Neural Spectral Bias and Conformal Correlators I: Introduction and Applications
by: Ghosh, Kausik, et al.
Published: (2026)
by: Ghosh, Kausik, et al.
Published: (2026)
Neural Networks Reveal a Universal Bias in Conformal Correlators
by: Ghosh, Kausik, et al.
Published: (2026)
by: Ghosh, Kausik, et al.
Published: (2026)
Phase Transitions in Large Language Models and the $O(N)$ Model
by: Sun, Youran, et al.
Published: (2025)
by: Sun, Youran, et al.
Published: (2025)
Fine-Tuning Small Reasoning Models for Quantum Field Theory
by: Woodward, Nathaniel S., et al.
Published: (2026)
by: Woodward, Nathaniel S., et al.
Published: (2026)
Artificial Entanglement in the Fine-Tuning of Large Language Models
by: Chen, Min, et al.
Published: (2026)
by: Chen, Min, et al.
Published: (2026)
Neural Operators as Efficient Function Interpolators
by: Niarchos, Vasilis, et al.
Published: (2026)
by: Niarchos, Vasilis, et al.
Published: (2026)
FeynMG: a FeynRules extension for scalar-tensor theories of gravity
by: Muñoz, Sergio Sevillano, et al.
Published: (2022)
by: Muñoz, Sergio Sevillano, et al.
Published: (2022)
The Feyn-Structure of Yangian Symmetry
by: Loebbert, Florian, et al.
Published: (2024)
by: Loebbert, Florian, et al.
Published: (2024)
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
by: Clemedtson, Alfred, et al.
Published: (2025)
by: Clemedtson, Alfred, et al.
Published: (2025)
FeynCalc 10: Do multiloop integrals dream of computer codes?
by: Shtabovenko, Vladyslav, et al.
Published: (2023)
by: Shtabovenko, Vladyslav, et al.
Published: (2023)
FeynGrav 3.0
by: Latosh, Boris
Published: (2024)
by: Latosh, Boris
Published: (2024)
FeynGrav 4.0
by: Latosh, Boris
Published: (2025)
by: Latosh, Boris
Published: (2025)
Stochastic normalizing flows for Effective String Theory
by: Caselle, Michele, et al.
Published: (2024)
by: Caselle, Michele, et al.
Published: (2024)
Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit
by: Zhang, Zhengkang
Published: (2024)
by: Zhang, Zhengkang
Published: (2024)
Lecture Notes on Normalizing Flows for Lattice Quantum Field Theories
by: Cheng, Miranda C. N., et al.
Published: (2025)
by: Cheng, Miranda C. N., et al.
Published: (2025)
Studying Effective String Theory using deep generative models
by: Caselle, Michele, et al.
Published: (2025)
by: Caselle, Michele, et al.
Published: (2025)
Conformal Defects in Neural Network Field Theories
by: Capuozzo, Pietro, et al.
Published: (2025)
by: Capuozzo, Pietro, et al.
Published: (2025)
Virasoro Symmetry in Neural Network Field Theories
by: Robinson, Brandon
Published: (2025)
by: Robinson, Brandon
Published: (2025)
Fermions and Supersymmetry in Neural Network Field Theories
by: Frank, Samuel, et al.
Published: (2025)
by: Frank, Samuel, et al.
Published: (2025)
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture
by: Gukov, Sergei, et al.
Published: (2024)
by: Gukov, Sergei, et al.
Published: (2024)
Non-Perturbative Trivializing Flows for Lattice Gauge Theories
by: Gerdes, Mathis, et al.
Published: (2024)
by: Gerdes, Mathis, et al.
Published: (2024)
Bootstrapping High-Energy Observables
by: Bhat, Faizan, et al.
Published: (2023)
by: Bhat, Faizan, et al.
Published: (2023)
LLMs with in-context learning for Algorithmic Theoretical Physics
by: Hell, Anamaria, et al.
Published: (2026)
by: Hell, Anamaria, et al.
Published: (2026)
Versatile Energy-Based Probabilistic Models for High Energy Physics
by: Cheng, Taoli, et al.
Published: (2023)
by: Cheng, Taoli, et al.
Published: (2023)
Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory
by: Cai, Tianji, et al.
Published: (2024)
by: Cai, Tianji, et al.
Published: (2024)
FeynGrav and Recent Progress in Computational Perturbative Quantum Gravity
by: Latosh, Boris N
Published: (2024)
by: Latosh, Boris N
Published: (2024)
GDS Agent for Graph Algorithmic Reasoning
by: Shi, Borun, et al.
Published: (2025)
by: Shi, Borun, et al.
Published: (2025)
FeynGame 3.0
by: Bündgen, L., et al.
Published: (2025)
by: Bündgen, L., et al.
Published: (2025)
Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics
by: Zhang, Zhengde, et al.
Published: (2024)
by: Zhang, Zhengde, et al.
Published: (2024)
FiniteFieldSolve: Exactly Solving Large Linear Systems in High-Energy Theory
by: Mangan, James
Published: (2023)
by: Mangan, James
Published: (2023)
Similar Items
-
Neural Networks, Dispersion Relations and the Thermal Bootstrap
by: Niarchos, Vasilis, et al.
Published: (2026) -
Type-B Anomaly Matching and the 6D (2,0) Theory
by: Niarchos, Vasilis, et al.
Published: (2019) -
Learning S-Matrix Phases with Neural Operators
by: Niarchos, V., et al.
Published: (2024) -
(Mis-)Matching Type-B Anomalies on the Higgs Branch
by: Niarchos, Vasilis, et al.
Published: (2020) -
Covariantly Constant Anomalies on Conformal Manifolds
by: Andriolo, Enrico, et al.
Published: (2022)