Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Qiu, Zirou, Adiga, Abhijin, Marathe, Madhav V., Ravi, S. S., Rosenkrantz, Daniel J., Stearns, Richard E., Vullikanti, Anil |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning the Topology and Behavior of Discrete Dynamical Systems
by: Qiu, Zirou, et al.
Published: (2024)
by: Qiu, Zirou, et al.
Published: (2024)
On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
by: Rosenkrantz, Daniel J., et al.
Published: (2025)
by: Rosenkrantz, Daniel J., et al.
Published: (2025)
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
by: Qiu, Zirou, et al.
Published: (2023)
by: Qiu, Zirou, et al.
Published: (2023)
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems
by: Qiu, Zirou, et al.
Published: (2023)
by: Qiu, Zirou, et al.
Published: (2023)
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
by: Mishra, Ritwick, et al.
Published: (2026)
by: Mishra, Ritwick, et al.
Published: (2026)
Assigning Agents to Increase Network-Based Neighborhood Diversity
by: Qiu, Zirou, et al.
Published: (2023)
by: Qiu, Zirou, et al.
Published: (2023)
Reconstructing Network Outbreaks under Group Surveillance
by: Mishra, Ritwick, et al.
Published: (2026)
by: Mishra, Ritwick, et al.
Published: (2026)
CAFOSat: A Strongly Annotated Dataset for Infrastructure-Aware CAFO Mapping Using High-Resolution Imagery
by: Hoque, Oishee Bintey, et al.
Published: (2026)
by: Hoque, Oishee Bintey, et al.
Published: (2026)
PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
by: Hoque, Oishee Bintey, et al.
Published: (2026)
by: Hoque, Oishee Bintey, et al.
Published: (2026)
A Unifying Information-theoretic Perspective on Evaluating Generative Models
by: Fox, Alexis, et al.
Published: (2024)
by: Fox, Alexis, et al.
Published: (2024)
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation
by: Hoque, Oishee Bintey, et al.
Published: (2025)
by: Hoque, Oishee Bintey, et al.
Published: (2025)
PAC Learnability in the Presence of Performativity
by: Kirev, Ivan, et al.
Published: (2025)
by: Kirev, Ivan, et al.
Published: (2025)
Differentially Private and Scalable Estimation of the Network Principal Component
by: Khayatian, Alireza, et al.
Published: (2025)
by: Khayatian, Alireza, et al.
Published: (2025)
IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery
by: Hoque, Oishee Bintey, et al.
Published: (2024)
by: Hoque, Oishee Bintey, et al.
Published: (2024)
CALYPSO: Forecasting and Analyzing MRSA Infection Patterns with Community and Healthcare Transmission Dynamics
by: Datta, Rituparna, et al.
Published: (2025)
by: Datta, Rituparna, et al.
Published: (2025)
Differentially Private Densest Subgraph Detection
by: Nguyen, Dung, et al.
Published: (2021)
by: Nguyen, Dung, et al.
Published: (2021)
Adversarially Robust PAC Learnability of Real-Valued Functions
by: Attias, Idan, et al.
Published: (2022)
by: Attias, Idan, et al.
Published: (2022)
PAC Learnability under Explanation-Preserving Graph Perturbations
by: Zheng, Xu, et al.
Published: (2024)
by: Zheng, Xu, et al.
Published: (2024)
Strategic PAC Learnability via Geometric Definability
by: Filmus, Yuval, et al.
Published: (2026)
by: Filmus, Yuval, et al.
Published: (2026)
Sample Complexity of Linear Regression Models for Opinion Formation in Networks
by: Liu, Haolin, et al.
Published: (2023)
by: Liu, Haolin, et al.
Published: (2023)
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability
by: Attias, Idan, et al.
Published: (2022)
by: Attias, Idan, et al.
Published: (2022)
Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability
by: Wiesler, Eleanor, et al.
Published: (2026)
by: Wiesler, Eleanor, et al.
Published: (2026)
Contrastive Explainable Clustering with Differential Privacy
by: Nguyen, Dung, et al.
Published: (2024)
by: Nguyen, Dung, et al.
Published: (2024)
Fine-Grained Uncertainty Quantification via Collisions
by: Friedbaum, Jesse, et al.
Published: (2024)
by: Friedbaum, Jesse, et al.
Published: (2024)
Trustworthy Actionable Perturbations
by: Friedbaum, Jesse, et al.
Published: (2024)
by: Friedbaum, Jesse, et al.
Published: (2024)
Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
by: Teku, Noel, et al.
Published: (2024)
by: Teku, Noel, et al.
Published: (2024)
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
by: Adiga, Aniruddha, et al.
Published: (2026)
by: Adiga, Aniruddha, et al.
Published: (2026)
PAC Learnability of Scenario Decision-Making Algorithms: Necessary Conditions and Sufficient Conditions
by: Berger, Guillaume O., et al.
Published: (2025)
by: Berger, Guillaume O., et al.
Published: (2025)
Efficient Optimal PAC Learning
by: Høgsgaard, Mikael Møller
Published: (2025)
by: Høgsgaard, Mikael Møller
Published: (2025)
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
by: Huang, Wei, et al.
Published: (2023)
by: Huang, Wei, et al.
Published: (2023)
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
by: Guan, Zihan, et al.
Published: (2025)
by: Guan, Zihan, et al.
Published: (2025)
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)
by: Guan, Zihan, et al.
Published: (2024)
Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
by: Adiga, Abhijin, et al.
Published: (2024)
by: Adiga, Abhijin, et al.
Published: (2024)
Sample-Efficient Optimization over Generative Priors via Coarse Learnability
by: Awasthi, Pranjal, et al.
Published: (2025)
by: Awasthi, Pranjal, et al.
Published: (2025)
Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
by: Guan, Zihan, et al.
Published: (2025)
by: Guan, Zihan, et al.
Published: (2025)
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
by: Hoque, Oishee Bintey, et al.
Published: (2025)
by: Hoque, Oishee Bintey, et al.
Published: (2025)
Learnable & Interpretable Model Combination in Dynamical Systems Modeling
by: Thummerer, Tobias, et al.
Published: (2024)
by: Thummerer, Tobias, et al.
Published: (2024)
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
by: Eringis, Deividas, et al.
Published: (2023)
by: Eringis, Deividas, et al.
Published: (2023)
Fragmentation is Efficiently Learnable by Quantum Neural Networks
by: Mints, Mikhail, et al.
Published: (2025)
by: Mints, Mikhail, et al.
Published: (2025)
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
by: Nicolau, Marcio, et al.
Published: (2020)
by: Nicolau, Marcio, et al.
Published: (2020)
Similar Items
-
Learning the Topology and Behavior of Discrete Dynamical Systems
by: Qiu, Zirou, et al.
Published: (2024) -
On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
by: Rosenkrantz, Daniel J., et al.
Published: (2025) -
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
by: Qiu, Zirou, et al.
Published: (2023) -
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems
by: Qiu, Zirou, et al.
Published: (2023) -
Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks
by: Mishra, Ritwick, et al.
Published: (2026)