Summary of A Federated Large Language Model For Long-term Time Series Forecasting, by Raed Abdel-sater and A. Ben Hamza
A federated large language model for long-term time series forecastingby Raed Abdel-Sater, A. Ben HamzaFirst…
A federated large language model for long-term time series forecastingby Raed Abdel-Sater, A. Ben HamzaFirst…
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledgeby Yupei Yang, Biwei Huang, Shikui Tu, Lei…
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding…
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systemsby Rahul Ghosh, Zac McEachran,…
Time series forecasting with high stakes: A field study of the air cargo industryby Abhinav…
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMsby Feiyang Kang, Yifan Sun, Bingbing…
Emergence in non-neural models: grokking modular arithmetic via average gradient outer productby Neil Mallinar, Daniel…
Learning Random Numbers to Realize Appendable Memory System for Artificial Intelligence to Acquire New Knowledge…
Supertrust foundational alignment: mutual trust must replace permanent control for safe superintelligenceby James M. MazzuFirst…
SAPG: Split and Aggregate Policy Gradientsby Jayesh Singla, Ananye Agarwal, Deepak PathakFirst submitted to arxiv…