219 citations · 348 across the 8 of their papers we have counts for
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cs.LG2024
Scaling-laws for Large Time-series Models
Thomas D. P. Edwards, James Alvey, Justin Alsing +2
Scaling laws for large language models (LLMs) have provided useful guidance in training ever larger models for predictable performance gains. Time series forecasting shares a simil…
cs.LG2023★ 5 cited
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs
T. Lucas Makinen, Justin Alsing, Benjamin D. Wandelt
Set-based learning is an essential component of modern deep learning and network science. Graph Neural Networks (GNNs) and their edge-free counterparts Deepsets have proven remarka…