245 citations · 783 across the 82 of their papers we have counts for
37 papers · 1 filter
A Library for Learning Neural Operators
Jean Kossaifi, Nikola Kovachki, Zongyi Li +8
We present NeuralOperator, an open-source Python library for operator learning. Neural operators generalize neural networks to maps between function spaces instead of finite-dimens…
Sequential Controlled Langevin Diffusions
Junhua Chen, Lorenz Richter, Julius Berner +3
An effective approach for sampling from unnormalized densities is based on the idea of gradually transporting samples from an easy prior to the complicated target distribution. Two…
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment
Firdavs Nasriddinov, Rafal Kocielnik, Arushi Gupta +4
This work introduces the first framework for reconstructing surgical dialogue from unstructured real-world recordings, which is crucial for characterizing teaching tasks. In surgic…
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment
Arushi Gupta, Rafal Kocielnik, Jiayun Wang +5
During surgical training, real-time feedback from trainers to trainees is important for preventing errors and enhancing long-term skill acquisition. Accurately predicting the effec…
Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance
Ishita Agarwal, Taylor L. Patti, Rodrigo Araiza Bravo +2
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the co…
BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
Peter St. John, Dejun Lin, Polina Binder +89
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increas…