Multi-view pose estimation is essential for quantifying animal behavior in scientific research, yet current methods struggle to achieve accurate tracking with limited labeled data and suffer from poor uncertainty estimates. We address these challenge... read more
Machine learning accelerates biomedical discovery, but creating effective predictive models requires specialized human expertise and demanding manual effort. Researchers must iteratively design pipelines, select architectures, and debug code. This ch... read more
Background Deep neural networks are a proven technique for working with high dimensional data because of their ability to draw-out meaningful patterns and create vector representations known as embeddings, which make it easier to work with learning t... read more
Cell-cell inference is a fundamental mechanism driving tissue homeostasis, immune regulation, and disease progression. Existing CCC inference tools operate on dissociated single-cell RNA-seq data, discarding the spatial constraints that govern short-... read more
A significant fraction of the microbial diversity remains unclassified, hindering our understanding of microbial roles in health and ecosystems. State-of-the-art methods like Kraken 2 perform well for taxa that are present in the database. However, t... read more
Generalizable protein-expression prediction can accelerate protein engineering, inform disease mechanisms, and help optimize heterologous recombinant protein production. Protein expression is governed by many interacting parameters that no single omi... read more
Binocular stereopsis depends on comparing the images seen by the two eyes. Although correlation-based models explain responses of individual binocular neurons in primary visual cortex (V1), it remains elusive whether such computations can support dep... read more
Recent advances in DNA language models have mainly come from building larger and more complex architectures, making it harder to understand the effect of changes to standard components such as the transformer layers widely used in NLP. In this work, ... read more
The transition of genomics to a predictive intelligence discipline is driven by the advent of genomic foundation models. While substantial progress has been observed in human-centric models, plant genomics, particularly for the staple crops, remains ... read more
Precise epitope recognition underpins the efficacy and safety of therapeutic antibodies, yet existing approaches to epitope similarity scoring rely largely on sequence identity or rigid structural superposition, limiting their ability to robustly ass... read more
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