2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
TabH2O: A Unified Foundation Model for Tabular Prediction
Pascal Pfeiffer, Dmitry Gordeev, Mathias Müller +6
We present TabH2O, a foundation model for tabular data that performs classification and regression in a single forward pass via in-context learning. TabH2O builds on the TabICL arc…
physics.soc-ph2020★ 2 cited
Backtesting the predictability of COVID-19
Dmitry Gordeev, Philipp Singer, Marios Michailidis +2
The advent of the COVID-19 pandemic has instigated unprecedented changes in many countries around the globe, putting a significant burden on the health sectors, affecting the macro…