Cover Image

CHLU: The Causal Hamiltonian Learning Unit as a Symplectic Primitive for Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jawahar, Pratik, Pierini, Maurizio
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Applied Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC
by: Jawahar, Pratik, et al.
Published: (2025)

Multi-Task Deep Learning for Surface Metrology
by: Kucharski, D., et al.
Published: (2025)

Inverse Design in Nanophotonics via Representation Learning
by: Marzban, Reza, et al.
Published: (2025)

Learning Generalized Hamiltonians using fully Symplectic Mappings
by: Choudhary, Harsh, et al.
Published: (2024)

AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS
by: Taccari, Maria Luisa, et al.
Published: (2026)

Reinforcement learning for spin torque oscillator tasks
by: Mojsiejuk, Jakub, et al.
Published: (2025)

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
by: Yi, Letian, et al.
Published: (2025)

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
by: Hettige, Kethmi Hirushini, et al.
Published: (2024)

Automotive Crash Dynamics Modeling Accelerated with Machine Learning
by: Nabian, Mohammad Amin, et al.
Published: (2025)

Do Quantum Neural Networks have Simplicity Bias?
by: Pointing, Jessica
Published: (2024)

Path Integral Solution for Dissipative Generative Dynamics
by: Wang, Xidi
Published: (2025)

Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
by: Mousavi, S. Mostafa, et al.
Published: (2024)

Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint
by: Chen, Yongchao
Published: (2023)

Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
by: Es'kin, Vasiliy A., et al.
Published: (2026)

Suppressing Modulation Instability with Reinforcement Learning
by: Kalmykov, Nikolay, et al.
Published: (2024)

Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
by: Alvarez, Robert Jenkinson
Published: (2026)

Causal Deep Learning
by: Berrevoets, Jeroen, et al.
Published: (2023)

Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
by: Grozavescu, Rares, et al.
Published: (2026)

Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation
by: Ghosh, Pratik, et al.
Published: (2023)

Fully Analog Resonant Recurrent Neural Network via Metacircuit
by: Zhou, Zixin, et al.
Published: (2026)

SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
by: Babu, Anand
Published: (2024)

Conformal Symplectic Optimization for Stable Reinforcement Learning
by: Lyu, Yao, et al.
Published: (2024)

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials
by: Yin, Shi, et al.
Published: (2025)

Pulse Shape Discrimination Algorithms: Survey and Benchmark
by: Liu, Haoran, et al.
Published: (2025)

Causal-Paced Deep Reinforcement Learning
by: Cho, Geonwoo, et al.
Published: (2025)

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls
by: Vardhan, Harsh, et al.
Published: (2023)

Characterizing Learning in Spiking Neural Networks with Astrocyte-Like Units
by: Yang, Christopher S., et al.
Published: (2025)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning
by: Dominici, Gabriele, et al.
Published: (2024)

Deep Causal Learning: Representation, Discovery and Inference
by: Deng, Zizhen, et al.
Published: (2022)

Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
by: Song, Yeongwoo, et al.
Published: (2022)

Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition
by: Kumar, Anuj, et al.
Published: (2026)

Deep Learning Models for Colloidal Nanocrystal Synthesis
by: Gu, Kai, et al.
Published: (2024)

HCP-DCNet: A Hierarchical Causal Primitive Dynamic Composition Network for Self-Improving Causal Understanding
by: Lei, Ming, et al.
Published: (2026)

Amortized Active Causal Induction with Deep Reinforcement Learning
by: Annadani, Yashas, et al.
Published: (2024)

Deep Causal Behavioral Policy Learning: Applications to Healthcare
by: Knecht, Jonas, et al.
Published: (2025)

Acoustic Structure Inverse Design and Optimization Using Deep Learning
by: Sun, Xuecong, et al.
Published: (2021)

Physics-Informed Neural Networks for Radial Consolidation of Combined Electroosmotic, Vacuum and Surcharge Preloading Considering Smear Effects
by: Li, Dong, et al.
Published: (2026)

Reflective Context Learning: Studying the Optimization Primitives of Context Space
by: Vassilyev, Nikita, et al.
Published: (2026)

TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites
by: Ghosh, Nimisha, et al.
Published: (2025)