output
20152025
most citedTen Quick Tips for Deep Learning in Biology

47 citations

5 papers

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cs.DS2023★ 2 cited

Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data

Skyler Ruiter, Seth Wolfgang, Marc Tunnell +3

Compressed Sparse Column (CSC) and Coordinate (COO) are popular compression formats for sparse matrices. However, both CSC and COO are general purpose and cannot take advantage of…

q-bio.OT2021★ 47 cited

Ten Quick Tips for Deep Learning in Biology

Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17

Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…

physics.comp-ph2016★ 15 cited

A fast, open source implementation of adaptive biasing potentials uncovers a ligand design strategy for the chromatin regulator BRD4

Bradley M. Dickson, Parker W de Waal, Zachary H Ramjan +2

In this communication we introduce an efficient implementation of adaptive biasing that greatly improves the speed of free energy computation in molecular dynamics simulations. We…

physics.chem-ph2015★ 8 cited

-tempered metadynamics: Artifact independent convergence times for wide hills

Bradley M. Dickson

Recent analysis of well-tempered metadynamics (WTmetaD) showed that it converges without mollification artifacts in the bias potential. Here we explore how metadynamics heals molli…