research
∙
05/25/2023
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Autoregressive Transformers adopted in Large Language Models (LLMs) are ...
share
research
∙
05/07/2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
On top of machine learning models, uncertainty quantification (UQ) funct...
research
∙
04/20/2023
Controllable Neural Symbolic Regression
In symbolic regression, the goal is to find an analytical expression tha...
research
∙
01/19/2023
An SDE for Modeling SAM: Theory and Insights
We study the SAM (Sharpness-Aware Minimization) optimizer which has rece...
research
∙
11/22/2022
Cosmology from Galaxy Redshift Surveys with PointNet
In recent years, deep learning approaches have achieved state-of-the-art...
research
∙
06/07/2022
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse
Transformers have achieved remarkable success in several domains, rangin...
research
∙
06/01/2022
Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction
Electrochemical batteries are ubiquitous devices in our society. When th...
research
∙
01/26/2022
FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
Generating music with deep neural networks has been an area of active re...
research
∙
01/02/2022
Randomized Signature Layers for Signal Extraction in Time Series Data
Time series analysis is a widespread task in Natural Sciences, Social Sc...
research
∙
06/11/2021
Neural Symbolic Regression that Scales
Symbolic equations are at the core of scientific discovery. The task of ...
research
∙
04/08/2021
