1 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities
Marianne Bauer, Akshit Goyal, Sidhartha Goyal +19
Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets, including datasets for cells, species, immune systems, neurons and behaviour.…
Panda: A pretrained forecast model for chaotic dynamics
Jeffrey Lai, Anthony Bao, William Gilpin
Chaotic systems are intrinsically sensitive to small errors, challenging efforts to construct predictive data-driven models of real-world dynamical systems such as fluid flows or n…
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning
Yuanzhao Zhang, William Gilpin
Recent time-series foundation models exhibit strong abilities to predict physical systems. These abilities include zero-shot forecasting, in which a model forecasts future states o…
The cell as a token: high-dimensional geometry in language models and cell embeddings
William Gilpin
Single-cell sequencing technology maps cells to a high-dimensional space encoding their internal activity. Recently-proposed virtual cell models extend this concept, enriching cell…