Search Results for author:
Found 5 papers, 2 papers with code
Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms
There is a growing body of work seeking to replicate the success of machine learning (ML) on domains like computer vision (CV) and natural language processing (NLP) to applications involving biophysical data.
Roughness of molecular property landscapes and its impact on modellability
In molecular discovery and drug design, structure-property relationships and activity landscapes are often qualitatively or quantitatively analyzed to guide the navigation of chemical space.
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
In particular, we focus on techniques to measure energy usage and different hardware and datacenter-oriented settings that can be tuned to reduce energy consumption for training and inference for language models.
The MIT Supercloud Workload Classification Challenge
We introduce a labelled dataset that can be used to develop new approaches to workload classification and present initial results based on existing approaches.
Automatic Non-Linear Video Editing Transfer
We propose an automatic approach that extracts editing styles in a source video and applies the edits to matched footage for video creation.
