:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bryan, Matthew J., Schwock, Felix, Yazdan-Shahmorad, Azadeh, Rao, Rajesh P N
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2507.15274
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation
by: Mehta, Ronak, et al.
Published: (2025)

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies
by: Fisher, Ares, et al.
Published: (2022)

Basis-to-Basis Operator Learning Using Function Encoders
by: Ingebrand, Tyler, et al.
Published: (2024)

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning
by: Rao, Rajesh P. N., et al.
Published: (2022)

Hierarchical Active Inference using Successor Representations
by: Rangarajan, Prashant, et al.
Published: (2026)

Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
by: Ramsey, Joseph, et al.
Published: (2025)

Closed-Loop Neural Operator-Based Observer of Traffic Density
by: Harting, Alice, et al.
Published: (2025)

Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
by: Junnarkar, Neelay, et al.
Published: (2024)

Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
by: Hirt, Sebastian, et al.
Published: (2024)

High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control
by: Hirt, Sebastian, et al.
Published: (2025)

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
by: Zhang, Zhejun, et al.
Published: (2024)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)

Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
by: Ororbia, Alexander, et al.
Published: (2025)

Echoes Before Collapse: Deep Learning Detection of Flickering in Complex Systems
by: Maghsoodlo, Yazdan Babazadeh, et al.
Published: (2025)

FOS: A Large-Scale Temporal Graph Benchmark for Scientific Interdisciplinary Link Prediction
by: Rezaee, Kiyan, et al.
Published: (2025)

Dynamic Localisation of Spatial-Temporal Graph Neural Network
by: Duan, Wenying, et al.
Published: (2025)

Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications
by: Huang, Dunsheng, et al.
Published: (2025)

Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
by: Rivera, Josue N., et al.
Published: (2024)

Heat Death of Generative Models in Closed-Loop Learning
by: Marchi, Matteo, et al.
Published: (2024)

Retrofitting Temporal Graph Neural Networks with Transformer
by: Huang, Qiang, et al.
Published: (2024)

MADE: Benchmark Environments for Closed-Loop Materials Discovery
by: Malik, Shreshth A, et al.
Published: (2026)

From Distributional to Quantile Neural Basis Models: the case of Electricity Price Forecasting
by: Brusaferri, Alessandro, et al.
Published: (2025)

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
by: Duan, Wenying, et al.
Published: (2024)

Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
by: Li, Jinghan, et al.
Published: (2024)

Function Basis Encoding of Numerical Features in Factorization Machines
by: Shtoff, Alex, et al.
Published: (2023)

FP=xINT:Representing Neural Networks via Low-Bit Series Basis Functions
by: Zhang, Boyang, et al.
Published: (2024)

Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
by: Jafari, Akbar Anbar, et al.
Published: (2025)

Closed-Loop Koopman Operator Approximation
by: Dahdah, Steven, et al.
Published: (2023)

Discrete Functional Geometry of ReLU Networks via ReLU Transition Graphs
by: Dhayalkar, Sahil Rajesh
Published: (2025)

Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
by: Kiruluta, Andrew
Published: (2026)

Restless Linear Bandits
by: Khaleghi, Azadeh
Published: (2024)

Fourier Basis Density Model
by: De la Fuente, Alfredo, et al.
Published: (2024)

Leveraging SPD Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models for Structural Health Monitoring
by: Alavi, Azadeh, et al.
Published: (2024)

RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
by: Yamasaki, Tomomasa, et al.
Published: (2025)

Adaptively trained Physics-informed Radial Basis Function Neural Networks for Solving Multi-asset Option Pricing Problems
by: Ma, Yan, et al.
Published: (2026)

Ensemble based Closed-Loop Optimal Control using Physics-Informed Neural Networks
by: Barry-Straume, Jostein, et al.
Published: (2025)

Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks
by: Tong, Xin, et al.
Published: (2024)

Homomorphism Counts for Graph Neural Networks: All About That Basis
by: Jin, Emily, et al.
Published: (2024)

Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series
by: Mortezanejad, Seyedeh Azadeh Fallah, et al.
Published: (2025)

Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
by: You, Jingyang, et al.
Published: (2025)