Joint Embedding Predictive Architecture for Self-supervised Pretraining on Polymer Molecular Graphs

Causal Sensitivity Analysis: f-sensitivity through entropic value at risk computation

Protein Structure and Sequence Co-Design through Graph Based Generative Diffusion Modeling

Improving embodied LLM agents' capabilities through collaboration

Reliable Offine Policy Evaluation for Individualized Mechanical Ventilation

Procedural Tree Generation: How to efficiently predict branching structures from foliage?

Procedural Tree Generation: Compressing 3D tree for faster rendering

Isolating a Tree’s Skeleton using a 3-Dimensional Reconstruction

Chemical reaction completion: a hybrid rule-based and language model-based approach

BECLR: Batch Enhanced Contrastive Unsupervised Few-Shot Learning

Leveraging Related Datasets to Improve Model Performance on an Underrepresented Target Population

Federated learning: a comparison of methods: How do different Federated Learning frameworks compare?

Federated learning: A comparison of methods: How do different ML models compare to each other

Vanishing empirical variance in randomly initialized networks

Slicing methods for deep learning on volumetric data

An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation

Attention-based deep learning for DNA repair outcome prediction: Learning how the cell repairs DNA breaks using local sequence context

Rule Induction on Multiple Instance Learning Concepts

Integrated learning of mutational signatures and prediction of DNA repair deficiencies

Outlier detection in time series: The Random Projection Outlier Ensemble