7k citations
- University of California, Santa BarbaraUS71 papers
- University of Maryland, College ParkUS21 papers
- ETH ZurichCH18 papers
- University of California, BerkeleyUS18 papers
- California Institute of TechnologyUS17 papers
- University of California, Los AngelesUS13 papers
- Board of the Swiss Federal Institutes of TechnologyCH11 papers
- Microsoft Research (United Kingdom)GB10 papers
- Oak Ridge National LaboratoryUS8 papers
- Princeton UniversityUS8 papers
- University of Tennessee at KnoxvilleUS8 papers
- RWTH Aachen UniversityDE7 papers
28 papers · 1 filter
TILT: Transform Invariant Low-rank Textures
Zhengdong Zhang, Arvind Ganesh, Xiao Liang +1
In this paper, we show how to efficiently and effectively extract a class of "low-rank textures" in a 3D scene from 2D images despite significant corruptions and warping. The low-r…
Ground-state properties of a supersymmetric fermion chain
Paul Fendley, Christian Hagendorf
We analyze the ground state of a strongly interacting fermion chain with a supersymmetry. We conjecture a number of exact results, such as a hidden duality between weak and strong…
Microscopic models of interacting Yang-Lee anyons
Eddy Ardonne, Jan Gukelberger, Andreas W. W. Ludwig +2
Collective states of interacting non-Abelian anyons have recently been studied mostly in the context of certain fractional quantum Hall states, such as the Moore-Read state propose…
Dynamics at and near conformal quantum critical points
S. V. Isakov, P. Fendley, A. W. W. Ludwig +2
We explore the dynamical behavior at and near a special class of two-dimensional quantum critical points. Each is a conformal quantum critical point (CQCP), where in the scaling li…
Learning Planar Ising Models
Jason K. Johnson, Praneeth Netrapalli, Michael Chertkov
Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However,…
Reductions Between Expansion Problems
Prasad Raghavendra, David Steurer, Madhur Tulsiani
The Small-Set Expansion Hypothesis (Raghavendra, Steurer, STOC 2010) is a natural hardness assumption concerning the problem of approximating the edge expansion of small sets in gr…