TabICL and TabPFN Achieve Best Perturbation Prediction
anshulkundaje · x · 2026-07-08
A post shared results on pseudobulk perturbation prediction, with experiments covering 5 Perturb-seq datasets.
TabICL and TabPFN achieved the lowest relative MSE across all datasets, demonstrating the best predictive performance for this specific task.
More from Research
- A question probes how multi-agent branching scales against compute budget and model size — iskander · 2026-07-27
- NUS builds a soft force sensor that drives actuators without electronics or power — CurieuxExplorer · 2026-07-27
- Chelsea Finn says robot RL is bottlenecked by physical rollout cost, not algorithms — ycombinator · 2026-07-27
- ICML 2026 oral paper replication scores stay middling after a stricter re-scoring — profjamesevans · 2026-07-27
- Long-running agents will need immutable event logs, this thread argues — sebpaquet · 2026-07-27
- Seed IQ navigates Doom II, prompting questions about benchmarks beyond ARC-AGI — Fit_Transition8824 · 2026-07-27