Future Data Forecasting
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning
arXiv:2606.02433v1 Announce Type: new Abstract: The rapid development of LLMs has significantly advanced tabular question answering, but most systems cannot perform future-oriented numerical prediction. To address this gap, we introduce a novel task, Open-Domain Tabular Question
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
Announce Type: cross Abstract: Forecasting seismic waveforms beyond observed data remains challenging due to the nonlinear, dispersive, and multi-scale nature of seismic wave propagation. In this work, we introduce \textsc{SeismoGPT}, a transformer-based autoregressive model designed to forecast three-component seismic waveforms directly in the time domain. Forecasting is formulated as a physically constrained continuation problem in which the model receives waveform context beginning at the...
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures
Announce Type: cross Abstract: Forecasting seismic waveforms beyond observed data remains challenging due to the nonlinear, dispersive, and multi-scale nature of seismic wave propagation. In this work, we introduce \textsc{SeismoGPT}, a transformer-based autoregressive model designed to forecast three-component seismic waveforms directly in the time domain. Forecasting is formulated as a physically constrained continuation problem in which the model receives waveform context beginning at the...
Forecast evaluation report – June 2026
Forecast evaluation report – June 2026 Our annual Forecast evaluation report (FER) examines how our forecasts compare to subsequent outturn data and identifies lessons for future forecasts. This report focuses on the performance of our July 2020, March 2023, and March 2024 economic and fiscal forecasts for the fiscal year 2024-25 against the latest outturn data.
Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings
arXiv:2606.07798v1 Announce Type: new Abstract: Alzheimer's disease is a progressive neurodegenerative disorder, and its progression varies substantially across patients. Existing work aims to forecast patients' future cognitive state, with minimal focus on reconstructing the state from past visits. Furthermore, in current research, quantifying predictive uncertainty remains underexplored and relies on costly modalities such as MRI, PET, and CSF, limiting their deployment in resource-limited...
New study sheds light on Victoria's future rainfall
New study sheds light on Victoria's future rainfall Sadie Harley Scientific Editor Andrew Zinin Lead Editor New research led by Monash University sheds a new perspective on forecasts of future rainfall in Victoria, showing that recent dry conditions may not fully reflect long-term climate change signals. The study, published in Theoretical and Applied Climatology, highlights the important role of natural climate variability in shaping recent rainfall patterns, and how this influences...
Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
arXiv:2606.01289v1 Announce Type: new Abstract: Zero-shot time series forecasting aims to predict future values for previously unseen series, requiring models to generalize temporal dynamics beyond the training distribution. While recent foundation models achieve strong in-domain performance through large-scale pretraining, their effectiveness often relies on broad data coverage and implicit pattern memorization, which can limit generalization when data are scarce or source and target...
Distinct associations between multimodal brain measures and psychopathology domains predict adolescent functioning
Adolescent psychopathology is partly rooted in measurable disruptions across key neural networks, yet the field still lacks an integrated, multimodal understanding of these brain-behavior links. Here, we examined how structural, microstructural, and functional measures across corticostriatal, corticolimbic, and executive control networks relate to psychopathology domains and explored how these associations predicted future psychosocial functioning. We used data from the Adolescent Brain...
ProbRes: Volatility Learning for Probabilistic Time-Series Forecasting
arXiv:2606.02117v1 Announce Type: cross Abstract: Probabilistic time series forecasting has attracted increasing attention in financial applications due to the need to quantify risk and uncertainty in future observations. We propose ProbRes, a post-hoc probabilistic calibration method that explicitly learns and incorporates volatility dynamics into probabilistic forecasting, enabling effective handling of heteroskedastic data. During training, ProbRes employs two architecture-agnostic...
Germany news: Naturalizations reach record high in 2025
Naturalizations reach record high in 2025 Published June 3, 2026last updated June 3, 2026What you need to know - Germany saw a jump in naturalizations in 2025, new data show - Slightly less pessimism about the future of the German auto industry - Germany campaigns in New York for UN Security Council seat Keep reading for more news and analysis out of Germany on Wednesday, June 3, 2026: Tired of missing our real-time updates? Click here to add us as a Preferred Source on Google.