Home      Discussions      About
Join us

@cims.nyu.edu

Oct 22, 2010
By hubard
Combinatorics

Order Types of convex bodies

We give new bounds on the Erdos-Szekeres theorems for convex bodies of Bisztriczky and Fejes Toth and of Pach and Toth. We derive them from a combina…
Jun 30, 2014
Differential Geometry

This section is divided as follows: In Section 3.1 we will explore some basic properties of the parabolic Hausdorff measure, In Section 3.2 we will show that infinitesimally spatial Euclidean (k+1)-rectifiable sets (see Definition 3.13) with finite …

Isoperimetric properties of the mean curvature flow

In this paper we discuss a simple relation, which was previously missed, between the high co-dimensional isoperimetric problem of finding a filling w…
Apr 20, 2016
By jacob
Analysis of PDEs
Plasma Physics

First consider the velocity high norm estimate on g stated in Proposition 2.5. Let α∈N3 be a multi-index. An energy estimate yields

Landau damping in finite regularity for unconfined systems with scree…

We prove Landau damping for the collisionless Vlasov equation with a class of $L^1$ interaction potentials (including the physical case of screened C…
May 19, 2009
Probability
Mathematical Physics

Current fluctuations for TASEP: A proof of the Prähofer--Spohn conj…

We consider the family of two-sided Bernoulli initial conditions for TASEP which, as the left and right densities ($\rho_-,\rho_+$) are varied, give …
Oct 16, 2013
By oneil
Classical Physic
Mathematical Physics
Numerical Analysis

A generalized Debye source approach to electromagnetic scattering in …

The standard solution to time-harmonic electromagnetic scattering problems in homogeneous layered media relies on the use of the electric field dyadi…
Aug 30, 2016
By baik
Probability
Mathematical Physics

TASEP on a ring in sub-relaxation time scale

Interacting particle systems in the KPZ universality class on a ring of size $L$ with $O(L)$ number of particles are expected to change from KPZ dyna…
Feb 12, 2018
Analysis of PDEs

Separation for the stationary Prandtl equation

In this paper, we prove that separation occurs for the stationary Prandtl equation, in the case of adverse pressure gradient, for a large class of bo…
Jun 06, 2012
By schaul
Machine Learning

No More Pesky Learning Rates

The performance of stochastic gradient descent (SGD) depends critically on how learning rates are tuned and decreased over time. We propose a method …
Sep 29, 2013
By jzhao
Biomolecules
Computer Vision

Rotationally Invariant Image Representation for Viewing Direction C…

We introduce a new rotationally invariant viewing angle classification method for identifying, among a large number of Cryo-EM projection images, sim…
Dec 20, 2014
By zsx
Conferences: NIPS
Machine Learning

Deep learning with Elastic Averaging SGD

We study the problem of stochastic optimization for deep learning in the parallel computing environment under communication constraints. A new algori…
Feb 19, 2009
By mansour
Machine Learning
Artificial Intelligence

Domain Adaptation: Learning Bounds and Algorithms

This paper addresses the general problem of domain adaptation which arises in a variety of applications where the distribution of the labeled sample …
Dec 22, 2015
Analysis of PDEs

Symmetry breaking in indented elastic cones

Motivated by simulations of carbon nanocones (see Jordan and Crespi, Phys. Rev. Lett., 2004), we consider a variational plate model for an elastic co…
Jan 15, 2019
By reza
Probability
Mathematical Physics

Maximum and shape of interfaces in 3D Ising crystals

Dobrushin (1972) showed that the interface of a 3D Ising model with minus boundary conditions above the $xy$-plane and plus below is rigid (has $O(1)…
Nov 11, 2008
By mohri
Machine Learning

Stability Bound for Stationary Phi-mixing and Beta-mixing Processes

Most generalization bounds in learning theory are based on some measure of the complexity of the hypothesis class used, independently of any algorith…
Oct 05, 2013
By grooms
Computational Physics
Atmospheric and Oceanic Physics
Fluid Dynamics

Stochastic superparameterization in quasigeostrophic turbulence

In this article we expand and develop the authors' recent proposed methodology for efficient stochastic superparameterization (SP) algorithms for geo…
Feb 18, 2010
By corwin
Mathematical Physics

Limit processes for TASEP with shocks and rarefaction fans

We consider the totally asymmetric simple exclusion process (TASEP) with two-sided Bernoulli initial condition, i.e., with left density rho_- and rig…
Sep 17, 2015
Numerical Analysis
Atmospheric and Oceanic Physics
Data Analysis
Statistics and Probability

Data-driven prediction strategies for low-frequency patterns of North…

The North Pacific exhibits patterns of low-frequency variability on the intra-annual to decadal time scales, which manifest themselves in both model …
Jun 13, 2019
By sm7582
Image and Video Processing
Computer Vision
Machine Learning

Robust and interpretable blind image denoising via bias-free convol…

Deep convolutional networks often append additive constant ("bias") terms to their convolution operations, enabling a richer repertoire of functional…
Apr 10, 2015
Computer Vision
Machine Learning

Unsupervised Feature Learning from Temporal Data

Current state-of-the-art classification and detection algorithms rely on supervised training. In this work we study unsupervised feature learning in …
May 29, 2019
Machine Learning
Optimization and Control

Extra-gradient with player sampling for provable fast convergence in …

Data-driven model training is increasingly relying on finding Nash equilibria with provable techniques, e.g., for GANs and multi-agent RL. In this pa…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description