13 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius, Andrea Zerio, Roy L. M. Wang
We introduce LatentTimePFN (LaT-PFN), a foundational Time Series model with a strong embedding space that enables zero-shot forecasting. To achieve this, we perform in-context lear…
cs.LG2020★ 13 cited
Pruning via Iterative Ranking of Sensitivity Statistics
Stijn Verdenius, Maarten Stol, Patrick Forré
With the introduction of SNIP [arXiv:1810.02340v2], it has been demonstrated that modern neural networks can effectively be pruned before training. Yet, its sensitivity criterion h…