20 citations · 28 across the 4 of their papers we have counts for
4 papers
CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation
Andac Demir, Erik W. Anderson, Jeremy L. Jenkins +1
In this work, we introduce CellxPert, a scalable multimodal foundation model that unifies single-cell and spatial multi-omics within a common representation space. CellxPert jointl…
TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
Alexis Chevalier, Soumya Ghosh, Urvi Awasthi +15
Understanding the biological mechanisms of disease is crucial for medicine, and in particular, for drug discovery. AI-powered analysis of genome-scale biological data holds great p…
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge
Julien Delile, Srayanta Mukherjee, Anton Van Pamel +1
Large language models (LLMs) are transforming the way information is retrieved with vast amounts of knowledge being summarized and presented via natural language conversations. Yet…
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting
Srayanta Mukherjee, Devashish Shankar, Atin Ghosh +4
Accurate demand forecasts can help on-line retail organizations better plan their supply-chain processes. The challenge, however, is the large number of associative factors that re…