Saved in:
| Main Authors: | Kamarthi, Harshavardhan, Shah, Harshil, Milner, Henry, Sinha, Sayan, Li, Yan, Prakash, B. Aditya, Sekar, Vyas |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.04432 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Pre-trained time series models for cross-domain Time series analysis tasks
by: Kamarthi, Harshavardhan, et al.
Published: (2023)
by: Kamarthi, Harshavardhan, et al.
Published: (2023)
In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks
by: Xu, Shangqing, et al.
Published: (2026)
by: Xu, Shangqing, et al.
Published: (2026)
Seeking Universal Shot Language Understanding Solutions
by: Liu, Haoxin, et al.
Published: (2026)
by: Liu, Haoxin, et al.
Published: (2026)
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
The AHA-Tree: An Adaptive Index for HTAP Workloads
by: Xing, Lu, et al.
Published: (2024)
by: Xing, Lu, et al.
Published: (2024)
Approximation-First Timeseries Monitoring Query At Scale
by: Zhu, Zeying, et al.
Published: (2025)
by: Zhu, Zeying, et al.
Published: (2025)
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
by: Maddi, Aadyaa, et al.
Published: (2026)
by: Maddi, Aadyaa, et al.
Published: (2026)
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
by: Kamarthi, Harshavardhan, et al.
Published: (2024)
Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
by: Kamarthi, Harshavardhan, et al.
Published: (2026)
by: Kamarthi, Harshavardhan, et al.
Published: (2026)
How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook
by: Liu, Haoxin, et al.
Published: (2025)
by: Liu, Haoxin, et al.
Published: (2025)
PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans
by: Mang, Qiuyang, et al.
Published: (2026)
by: Mang, Qiuyang, et al.
Published: (2026)
Designing a Secure, Scalable, and Cost-Effective Cloud Storage Solution: A Novel Approach to Data Management using NextCloud, TrueNAS, and QEMU/KVM
by: Aryan, Prakash, et al.
Published: (2024)
by: Aryan, Prakash, et al.
Published: (2024)
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
Research Pearl: The ROSI Operating System Interface
by: Soulé, Robert, et al.
Published: (2024)
by: Soulé, Robert, et al.
Published: (2024)
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
by: Shankar, Shreya, et al.
Published: (2024)
by: Shankar, Shreya, et al.
Published: (2024)
ApproxJoin: Approximate Matching for Efficient Verification in Fuzzy Set Similarity Join
by: Mandulak, Michael, et al.
Published: (2025)
by: Mandulak, Michael, et al.
Published: (2025)
UMI--History in the Making.
by: Pack, Thomas, et al.
Published: (1994)
by: Pack, Thomas, et al.
Published: (1994)
Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis
by: Su, Yunxiang, et al.
Published: (2026)
by: Su, Yunxiang, et al.
Published: (2026)
An Alternate Agentic AI Architecture (It's About the Data)
by: Wenz, Fabian, et al.
Published: (2026)
by: Wenz, Fabian, et al.
Published: (2026)
Distributed, communication-efficient, and differentially private estimation of KL divergence
by: Scott, Mary, et al.
Published: (2024)
by: Scott, Mary, et al.
Published: (2024)
3DPipe: A Pipelined GPU Framework for Scalable Generalized Spatial Join over Polyhedral Objects
by: Yuan, Lyuheng, et al.
Published: (2026)
by: Yuan, Lyuheng, et al.
Published: (2026)
QStore: Quantization-Aware Compressed Model Storage
by: Shah, Raunak, et al.
Published: (2025)
by: Shah, Raunak, et al.
Published: (2025)
An Experimental Comparison of Alternative Techniques for Event-Log Augmentation
by: Padella, Alessandro, et al.
Published: (2025)
by: Padella, Alessandro, et al.
Published: (2025)
Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Task Cascades for Efficient Unstructured Data Processing
by: Shankar, Shreya, et al.
Published: (2026)
by: Shankar, Shreya, et al.
Published: (2026)
Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL
by: Kanchinadam, Nitin, et al.
Published: (2026)
by: Kanchinadam, Nitin, et al.
Published: (2026)
Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees
by: Zeighami, Sepanta, et al.
Published: (2025)
by: Zeighami, Sepanta, et al.
Published: (2025)
Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos
Published: (2025)
by: Psarakis, Kyriakos
Published: (2025)
Crane: An Accurate and Scalable Neural Sketch for Graph Stream Summarization
by: Wang, Boyan, et al.
Published: (2026)
by: Wang, Boyan, et al.
Published: (2026)
Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models
by: Tripathi, Shivani, et al.
Published: (2025)
by: Tripathi, Shivani, et al.
Published: (2025)
A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems
by: Khan, Junaid Ahmed, et al.
Published: (2025)
by: Khan, Junaid Ahmed, et al.
Published: (2025)
Multilevel Verification on a Single Digital Decentralized Distributed (DDD) Ledger
by: Thada, Ayush, et al.
Published: (2024)
by: Thada, Ayush, et al.
Published: (2024)
Scalable Join Inference for Large Context Graphs
by: Tripathi, Shivani, et al.
Published: (2026)
by: Tripathi, Shivani, et al.
Published: (2026)
Optimizing Dataflow Systems for Scalable Interactive Visualization
by: Yang, Junran, et al.
Published: (2024)
by: Yang, Junran, et al.
Published: (2024)
Towards Selecting the Informative Alternative Relational Query Plans for Database Education
by: Wang, Hu, et al.
Published: (2022)
by: Wang, Hu, et al.
Published: (2022)
DBMS-LLM Integration Strategies in Industrial and Business Applications: Current Status and Future Challenges
by: Yan, Zhengtong, et al.
Published: (2025)
by: Yan, Zhengtong, et al.
Published: (2025)
A Comparative Analysis of Modeling Approaches for the Association of FAIR Digital Objects Operations
by: Blumenröhr, Nicolas, et al.
Published: (2025)
by: Blumenröhr, Nicolas, et al.
Published: (2025)
Data Governance and Data Management in Operations and Supply Chain: A Literature Review
by: Li, Xuejiao, et al.
Published: (2024)
by: Li, Xuejiao, et al.
Published: (2024)
Similar Items
-
Large Pre-trained time series models for cross-domain Time series analysis tasks
by: Kamarthi, Harshavardhan, et al.
Published: (2023) -
In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks
by: Xu, Shangqing, et al.
Published: (2026) -
Seeking Universal Shot Language Understanding Solutions
by: Liu, Haoxin, et al.
Published: (2026) -
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024) -
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
by: Kamarthi, Harshavardhan, et al.
Published: (2024)