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CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics arxiv.org/abs/2409.12998

Natural Language Processing Methods for the Study of Protein-Ligand Interactions arxiv.org/abs/2409.13057

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning arxiv.org/abs/2409.13259

Natural fumigation as a mechanism for volatile transport between flower organs arxiv.org/abs/2409.13270

pAE: An Efficient Autoencoder Architecture for Modeling the Lateral Geniculate Nucleus by Integrating Feedforward and Feedback Streams in Human Visual System arxiv.org/abs/2409.13622

A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems arxiv.org/abs/2409.13669

Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer arxiv.org/abs/2409.12209

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data arxiv.org/abs/2409.12215

What is in a Scent? Understanding the role of scent marking in social dynamics and territoriality of free-ranging dogs arxiv.org/abs/2409.12247

Transdisciplinary collaborations for advancing sustainable and resilient agricultural systems arxiv.org/abs/2409.12337

Discrimination vs. Generation: The Machine Learning Dichotomy for Dopaminergic Hit Discovery arxiv.org/abs/2409.12495

Compensatory Mechanisms in Non-principal Multimedia Learning: The Interplay of Local and Global Information Processing arxiv.org/abs/2409.12593

Physics-Informed Neural Networks can accurately model cardiac electrophysiology in 3D geometries and fibrillatory conditions arxiv.org/abs/2409.12712

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