Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression
Fuente:
arXiv
Saved in:
| Main Authors: | Kwon, Taehyung, Choi, Yeonje, Kim, Yeongho, Shin, Kijung |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
by: Ko, Jihoon, et al.
Published: (2022)
by: Ko, Jihoon, et al.
Published: (2022)
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026)
by: Panja, Madhurima, et al.
Published: (2026)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
by: Wang, Yibo, et al.
Published: (2026)
by: Wang, Yibo, et al.
Published: (2026)
Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
by: Zhang, Jiasheng, et al.
Published: (2024)
by: Zhang, Jiasheng, et al.
Published: (2024)
SALT: Sales Autocompletion Linked Business Tables Dataset
by: Klein, Tassilo, et al.
Published: (2025)
by: Klein, Tassilo, et al.
Published: (2025)
TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research
by: Harrasse, Abir, et al.
Published: (2025)
by: Harrasse, Abir, et al.
Published: (2025)
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024)
by: Chen, Wei, et al.
Published: (2024)
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
by: Lee, Jongha, et al.
Published: (2025)
by: Lee, Jongha, et al.
Published: (2025)
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models
by: Tripathi, Aakash, et al.
Published: (2024)
by: Tripathi, Aakash, et al.
Published: (2024)
Robo-DM: Data Management For Large Robot Datasets
by: Chen, Kaiyuan, et al.
Published: (2025)
by: Chen, Kaiyuan, et al.
Published: (2025)
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
by: Hwang, Dongyeong, et al.
Published: (2024)
by: Hwang, Dongyeong, et al.
Published: (2024)
VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation
by: Hua, Qianxi, et al.
Published: (2026)
by: Hua, Qianxi, et al.
Published: (2026)
Accelerating Storage-Based Training for Graph Neural Networks
by: Jang, Myung-Hwan, et al.
Published: (2026)
by: Jang, Myung-Hwan, et al.
Published: (2026)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
by: Lyu, Tengfei, et al.
Published: (2024)
by: Lyu, Tengfei, et al.
Published: (2024)
Enhancing Temporal Understanding in LLMs for Semi-structured Tables
by: Deng, Irwin, et al.
Published: (2024)
by: Deng, Irwin, et al.
Published: (2024)
Croissant: A Metadata Format for ML-Ready Datasets
by: Akhtar, Mubashara, et al.
Published: (2024)
by: Akhtar, Mubashara, et al.
Published: (2024)
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
by: Sun, Hui, et al.
Published: (2025)
by: Sun, Hui, et al.
Published: (2025)
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
by: Lee, Kyuhan, et al.
Published: (2025)
by: Lee, Kyuhan, et al.
Published: (2025)
Automated Spatio-Temporal Weather Modeling for Load Forecasting
by: Keisler, Julie, et al.
Published: (2024)
by: Keisler, Julie, et al.
Published: (2024)
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
by: Jiang, Wenxin, et al.
Published: (2024)
by: Jiang, Wenxin, et al.
Published: (2024)
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
by: Zhu, Yinlin, et al.
Published: (2024)
by: Zhu, Yinlin, et al.
Published: (2024)
On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis
by: Bu, Fanchen, et al.
Published: (2025)
by: Bu, Fanchen, et al.
Published: (2025)
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
by: Li, Zan, et al.
Published: (2025)
by: Li, Zan, et al.
Published: (2025)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
by: Phan, Hong-Phuc, et al.
Published: (2026)
by: Phan, Hong-Phuc, et al.
Published: (2026)
Revisiting RaBitQ and TurboQuant: A Symmetric Comparison of Methods, Theory, and Experiments
by: Gao, Jianyang, et al.
Published: (2026)
by: Gao, Jianyang, et al.
Published: (2026)
Integrating Meteorological and Operational Data: A Novel Approach to Understanding Railway Delays in Finland
by: Borin, Vinicius Pozzobon, et al.
Published: (2026)
by: Borin, Vinicius Pozzobon, et al.
Published: (2026)
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
by: Kothapalli, Vignesh, et al.
Published: (2026)
by: Kothapalli, Vignesh, et al.
Published: (2026)
Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)
by: Karabulut, Erkan, et al.
Published: (2026)
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)
by: Hofer, Marvin, et al.
Published: (2026)
AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
by: Kleczek, Darek, et al.
Published: (2026)
by: Kleczek, Darek, et al.
Published: (2026)
CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
by: Halimi, Iness, et al.
Published: (2026)
by: Halimi, Iness, et al.
Published: (2026)
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
by: Wang, Yanbo, et al.
Published: (2026)
by: Wang, Yanbo, et al.
Published: (2026)
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases
by: Kocijan, Vid, et al.
Published: (2026)
by: Kocijan, Vid, et al.
Published: (2026)
Similar Items
-
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
by: Ko, Jihoon, et al.
Published: (2022) -
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026) -
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024) -
Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024) -
WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression
by: Wang, Yibo, et al.
Published: (2026)