activity
20122018
most citedA high-bias, low-variance introduction to Machine Learning for physicists

932 citations · 1k across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.MN2018

The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks

Ching-Hao Wang, Caleb J. Bashor, Pankaj Mehta

Eukaryotic cells transmit information by signaling through complex networks of interacting proteins. Here we develop a theoretical and computational framework that relates the biop…

cond-mat.stat-mech2018★ 25 cited

Constrained optimization as ecological dynamics with applications to random quadratic programming in high dimensions

Pankaj Mehta, Wenping Cui, Ching-Hao Wang +1

Quadratic programming (QP) is a common and important constrained optimization problem. Here, we derive a surprising duality between constrained optimization with inequality constra…

cond-mat.stat-mech2018★ 1 cited

Pinned, locked, pushed, and pulled traveling waves in structured environments

Ching-Hao Wang, Sakib Matin, Ashish B. George +1

Traveling fronts describe the transition between two alternative states in a great number of physical and biological systems. Examples include the spread of beneficial mutations, c…

physics.comp-ph2018★ 932 cited

A high-bias, low-variance introduction to Machine Learning for physicists

Pankaj Mehta, Marin Bukov, Ching-Hao Wang +4

Machine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concept…

q-bio.SC2016★ 9 cited

A thermodynamic paradigm for solution demixing inspired by nuclear transport in living cells

Ching-Hao Wang, Pankaj Mehta, Michael Elbaum

Living cells display a remarkable capacity to compartmentalize their functional biochemistry. A particularly fascinating example is the cell nucleus. Exchange of macromolecules bet…

cond-mat.mtrl-sci2014★ 34 cited

Ginzburg-Landau theory of the bcc-liquid interface kinetic coefficient

Kuo-An Wu, Ching-Hao Wang, Jeffrey J. Hoyt +1

We extend the Ginzburg-Landau (GL) theory of atomically rough bcc-liquid interfaces [Wu {\it et al.}, Phys. Rev. B \textbf{73}, 094101 (2006)] outside of equilibrium. We use this e…