Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
Fuente:
arXiv
Saved in:
| Main Author: | Hiremath, Prakul Sunil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Hiremath Early Detection (HED) Score: A Measure-Theoretic Evaluation Standard for Temporal Intelligence
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Early Detection of Latent Microstructure Regimes in Limit Order Books
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Unified Unbiased Variance Estimation for Maximum Mean Discrepancy: Robust Finite-Sample Performance with Imbalanced Data and Exact Acceleration under Null and Alternative Hypotheses
by: Zhong, Shijie, et al.
Published: (2026)
by: Zhong, Shijie, et al.
Published: (2026)
Photonic AI: A Hybrid Diffractive Holographic Neural System for Passive Optical Real-Time Image Classification
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Predictable Gradient Manifolds in Deep Learning: Temporal Path-Length and Intrinsic Rank as a Complexity Regime
by: Calvo, Anherutowa
Published: (2026)
by: Calvo, Anherutowa
Published: (2026)
Front-door Reducibility: Reducing ADMGs to the Standard Front-door Setting via a Graphical Criterion
by: Mao, Jianqiao, et al.
Published: (2025)
by: Mao, Jianqiao, et al.
Published: (2025)
Graph Coloring for Multi-Task Learning
by: Patapati, Santosh
Published: (2025)
by: Patapati, Santosh
Published: (2025)
Sensitivity Uncertainty Alignment in Large Language Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
by: Hiremath, Prakul Sunil, et al.
Published: (2026)
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
by: Quaedvlieg, Lars C. P. M.
Published: (2025)
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
by: Xu, Zhe
Published: (2026)
by: Xu, Zhe
Published: (2026)
Recurrent Memory-Augmented Transformers with Chunked Attention for Long-Context Language Modeling
by: Kashyap, Ankit
Published: (2025)
by: Kashyap, Ankit
Published: (2025)
On the approximation capability of GNNs in node classification/regression tasks
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2021)
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2021)
A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts
by: Mukwaya, Arthur, et al.
Published: (2025)
by: Mukwaya, Arthur, et al.
Published: (2025)
CART-ELC: Oblique Decision Tree Induction via Exhaustive Search
by: Laack, Andrew D.
Published: (2025)
by: Laack, Andrew D.
Published: (2025)
Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning
by: Antos, András, et al.
Published: (2025)
by: Antos, András, et al.
Published: (2025)
Scattered Forest Search: Smarter Code Space Exploration with LLMs
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
A Survey on Data-Dependent Worst-Case Generalization Bounds
by: Leroux, Hubert, et al.
Published: (2026)
by: Leroux, Hubert, et al.
Published: (2026)
Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair
by: Hu, Yuelin, et al.
Published: (2026)
by: Hu, Yuelin, et al.
Published: (2026)
Learning Relationship between Quantum Walks and Underdamped Langevin Dynamics
by: Wang, Yazhen
Published: (2026)
by: Wang, Yazhen
Published: (2026)
Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
by: Buckley, Max, et al.
Published: (2025)
by: Buckley, Max, et al.
Published: (2025)
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report
by: Wigmore, Jerrod, et al.
Published: (2024)
by: Wigmore, Jerrod, et al.
Published: (2024)
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
by: Zhang, Tianming, et al.
Published: (2025)
by: Zhang, Tianming, et al.
Published: (2025)
On the Accuracy of Newton Step and Influence Function Data Attributions
by: Rubinstein, Ittai, et al.
Published: (2025)
by: Rubinstein, Ittai, et al.
Published: (2025)
Robustness Auditing for Linear Regression: To Singularity and Beyond
by: Rubinstein, Ittai, et al.
Published: (2024)
by: Rubinstein, Ittai, et al.
Published: (2024)
Time-to-Injury Forecasting in Elite Female Football: A DeepHit Survival Approach
by: Catterall, Victoria, et al.
Published: (2026)
by: Catterall, Victoria, et al.
Published: (2026)
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing
by: Perera, Minod, et al.
Published: (2025)
by: Perera, Minod, et al.
Published: (2025)
Off-policy Evaluation with Deeply-abstracted States
by: Hao, Meiling, et al.
Published: (2024)
by: Hao, Meiling, et al.
Published: (2024)
On the use of graph models to achieve individual and group fairness
by: Pérez-Peralta, Arturo, et al.
Published: (2026)
by: Pérez-Peralta, Arturo, et al.
Published: (2026)
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models
by: Wang, Binxu, et al.
Published: (2025)
by: Wang, Binxu, et al.
Published: (2025)
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
by: Gendron, Gaël, et al.
Published: (2025)
by: Gendron, Gaël, et al.
Published: (2025)
BandiK: Efficient Multi-Task Decomposition Using a Multi-Bandit Framework
by: Millinghoffer, András, et al.
Published: (2025)
by: Millinghoffer, András, et al.
Published: (2025)
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
by: Pielok, Tobias, et al.
Published: (2025)
by: Pielok, Tobias, et al.
Published: (2025)
SmallML: Bayesian Transfer Learning for Small-Data Predictive Analytics
by: Leontev, Semen
Published: (2025)
by: Leontev, Semen
Published: (2025)
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)
by: Tiwari, Dhruv
Published: (2025)
Graph Neural Networks are Heuristics
by: Min, Yimeng, et al.
Published: (2026)
by: Min, Yimeng, et al.
Published: (2026)
How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
by: Azizian, Waïss, et al.
Published: (2025)
by: Azizian, Waïss, et al.
Published: (2025)
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
by: Shchur, Andrii, et al.
Published: (2026)
by: Shchur, Andrii, et al.
Published: (2026)
Similar Items
-
The Hiremath Early Detection (HED) Score: A Measure-Theoretic Evaluation Standard for Temporal Intelligence
by: Hiremath, Prakul Sunil
Published: (2026) -
Early Detection of Latent Microstructure Regimes in Limit Order Books
by: Hiremath, Prakul Sunil, et al.
Published: (2026) -
GIRL: Generative Imagination Reinforcement Learning via Information-Theoretic Hallucination Control
by: Hiremath, Prakul Sunil
Published: (2026) -
PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models
by: Hiremath, Prakul Sunil, et al.
Published: (2026) -
Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
by: Hiremath, Prakul Sunil
Published: (2026)