Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics
Fuente:
arXiv
Saved in:
| Main Authors: | Ferfoglia, Irene, Silvetti, Simone, Saveri, Gaia, Nenzi, Laura, Bortolussi, Luca |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics
by: Ferfoglia, Irene, et al.
Published: (2025)
by: Ferfoglia, Irene, et al.
Published: (2025)
ECATS: Explainable-by-design concept-based anomaly detection for time series
by: Ferfoglia, Irene, et al.
Published: (2024)
by: Ferfoglia, Irene, et al.
Published: (2024)
stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic
by: Saveri, Gaia, et al.
Published: (2024)
by: Saveri, Gaia, et al.
Published: (2024)
Retrieval-Augmented Mining of Temporal Logic Specifications from Data
by: Saveri, Gaia, et al.
Published: (2024)
by: Saveri, Gaia, et al.
Published: (2024)
Bridging Logic and Learning: Decoding Temporal Logic Embeddings via Transformers
by: Candussio, Sara, et al.
Published: (2025)
by: Candussio, Sara, et al.
Published: (2025)
Distilling Formal Logic into Neural Spaces: A Kernel Alignment Approach for Signal Temporal Logic
by: Candussio, Sara, et al.
Published: (2026)
by: Candussio, Sara, et al.
Published: (2026)
Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic
by: Bonin, Lorenzo, et al.
Published: (2026)
by: Bonin, Lorenzo, et al.
Published: (2026)
CoCAI: Copula-based Conformal Anomaly Identification for Multivariate Time-Series
by: Pearson, Nicholas A., et al.
Published: (2025)
by: Pearson, Nicholas A., et al.
Published: (2025)
Learning Interpretable Differentiable Logic Networks for Time-Series Classification
by: Yue, Chang, et al.
Published: (2025)
by: Yue, Chang, et al.
Published: (2025)
Open Science Artifact: Stream-Based Runtime Adaptation of Coordination Mechanisms for Fault-Tolerant Multi-Agent Systems
by: Compagnucci, Ivan, et al.
Published: (2026)
by: Compagnucci, Ivan, et al.
Published: (2026)
Diffusion-based Time Series Forecasting for Sewerage Systems
by: Pearson, Nicholas A., et al.
Published: (2025)
by: Pearson, Nicholas A., et al.
Published: (2025)
Interpretability for Time Series Transformers using A Concept Bottleneck Framework
by: van Sprang, Angela, et al.
Published: (2024)
by: van Sprang, Angela, et al.
Published: (2024)
Interpretability in Deep Time Series Models Demands Semantic Alignment
by: De Felice, Giovanni, et al.
Published: (2026)
by: De Felice, Giovanni, et al.
Published: (2026)
Fast ML-driven Analog Circuit Layout using Reinforcement Learning and Steiner Trees
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Timeseria: an object-oriented time series processing library
by: Russo, Stefano Alberto, et al.
Published: (2024)
by: Russo, Stefano Alberto, et al.
Published: (2024)
Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)
by: Scassola, Davide, et al.
Published: (2025)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)
by: Ballarin, Emanuele, et al.
Published: (2023)
Beyond single-model XAI: aggregating multi-model explanations for enhanced trustworthiness
by: Vascotto, Ilaria, et al.
Published: (2025)
by: Vascotto, Ilaria, et al.
Published: (2025)
When Can You Trust Your Explanations? A Robustness Analysis on Feature Importances
by: Vascotto, Ilaria, et al.
Published: (2024)
by: Vascotto, Ilaria, et al.
Published: (2024)
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025)
by: Cho, Dongchan, et al.
Published: (2025)
Monitoring Spatially Distributed Cyber-Physical Systems with Alternating Finite Automata
by: Balakrishnan, Anand, et al.
Published: (2025)
by: Balakrishnan, Anand, et al.
Published: (2025)
Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)
by: Wu, Shuchen, et al.
Published: (2025)
From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
by: Eisenberg, Ran, et al.
Published: (2025)
by: Eisenberg, Ran, et al.
Published: (2025)
Inherently Interpretable Time Series Classification via Multiple Instance Learning
by: Early, Joseph, et al.
Published: (2023)
by: Early, Joseph, et al.
Published: (2023)
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
by: Zhao, Zhiyuan, et al.
Published: (2025)
by: Zhao, Zhiyuan, et al.
Published: (2025)
Interpretable Hierarchical Concept Reasoning through Attention-Guided Graph Learning
by: Debot, David, et al.
Published: (2025)
by: Debot, David, et al.
Published: (2025)
TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning
by: Tan, Zexi, et al.
Published: (2026)
by: Tan, Zexi, et al.
Published: (2026)
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast
by: Wu, Yu, et al.
Published: (2024)
by: Wu, Yu, et al.
Published: (2024)
Multi-Stage Prototype Learning for Interpretable Time Series Classification
by: Kalisetti, Bhavesh, et al.
Published: (2021)
by: Kalisetti, Bhavesh, et al.
Published: (2021)
Semantic-Guided RL for Interpretable Feature Engineering
by: Bouadi, Mohamed, et al.
Published: (2024)
by: Bouadi, Mohamed, et al.
Published: (2024)
Learning Interpretable Differentiable Logic Networks
by: Yue, Chang, et al.
Published: (2024)
by: Yue, Chang, et al.
Published: (2024)
Enhancing Time Series Forecasting via Logic-Inspired Regularization
by: Zhang, Jianqi, et al.
Published: (2025)
by: Zhang, Jianqi, et al.
Published: (2025)
Effective Analog ICs Floorplanning with Relational Graph Neural Networks and Reinforcement Learning
by: Basso, Davide, et al.
Published: (2024)
by: Basso, Davide, et al.
Published: (2024)
Concept Extraction for Time Series with ECLAD-ts
by: Holzapfel, Antonia, et al.
Published: (2025)
by: Holzapfel, Antonia, et al.
Published: (2025)
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
by: Scassola, Davide, et al.
Published: (2023)
by: Scassola, Davide, et al.
Published: (2023)
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
by: Verdù, Federico Julian Camerota, et al.
Published: (2024)
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
by: Islam, Md. Khairul, et al.
Published: (2024)
by: Islam, Md. Khairul, et al.
Published: (2024)
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
by: Ding, Kuiye, et al.
Published: (2025)
by: Ding, Kuiye, et al.
Published: (2025)
Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
by: Nguyen, Duy, et al.
Published: (2026)
by: Nguyen, Duy, et al.
Published: (2026)
Similar Items
-
Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics
by: Ferfoglia, Irene, et al.
Published: (2025) -
ECATS: Explainable-by-design concept-based anomaly detection for time series
by: Ferfoglia, Irene, et al.
Published: (2024) -
stl2vec: Semantic and Interpretable Vector Representation of Temporal Logic
by: Saveri, Gaia, et al.
Published: (2024) -
Retrieval-Augmented Mining of Temporal Logic Specifications from Data
by: Saveri, Gaia, et al.
Published: (2024) -
Bridging Logic and Learning: Decoding Temporal Logic Embeddings via Transformers
by: Candussio, Sara, et al.
Published: (2025)