Proof pending. This topic has not reached the minimum paper threshold yet.
This study examines the challenges of modeling complex and noisy data related to socioeconomic factors over time, with a focus on data from various districts in Odisha, India. Traditional time-series ...
Time series (TS) modeling has come a long way from early statistical, mainly linear, approaches to the current trend in TS foundation models. With a lot of hype and industrial demand in this field, it...
This position paper argues that the pursuit of "Universal Foundation Models for Time Series" rests on a fundamental category error, mistaking a structural Container for a semantic Modality. We contend...
The Probabilistic Transformer (PT) establishes that the Transformer's self-attention plus its feed-forward block is mathematically equivalent to Mean-Field Variational Inference (MFVI) on a Conditiona...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID time-series-modeling | Route /topic/time-series-modeling
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/time-series-modelingMCP example
{
"tool": "search_papers",
"arguments": {
"query": "Time Series Modeling",
"cluster": "Time Series Modeling"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "Time Series Modeling",
"normalized_query": "time-series-modeling",
"route": "/topic/time-series-modeling",
"paper_ref": null,
"topic_slug": "time-series-modeling",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.