Search Results for author: Manas Rachh

Found 4 papers, 3 papers with code

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

8 code implementations25 Dec 2017 George C. Linderman, Manas Rachh, Jeremy G. Hoskins, Stefan Steinerberger, Yuval Kluger

t-distributed Stochastic Neighborhood Embedding (t-SNE) is a method for dimensionality reduction and visualization that has become widely popular in recent years.

Dimensionality Reduction

A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem

1 code implementation16 Dec 2022 Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges

We present a neural network warm-start approach for solving the inverse scattering problem, where an initial guess for the optimization problem is obtained using a trained neural network.

On the Diffusion Geometry of Graph Laplacians and Applications

no code implementations9 Nov 2016 Xiuyuan Cheng, Manas Rachh, Stefan Steinerberger

We study directed, weighted graphs $G=(V, E)$ and consider the (not necessarily symmetric) averaging operator $$ (\mathcal{L}u)(i) = -\sum_{j \sim_{} i}{p_{ij} (u(j) - u(i))},$$ where $p_{ij}$ are normalized edge weights.

A fluctuating boundary integral method for Brownian suspensions

1 code implementation5 Sep 2017 Yuanxun Bao, Manas Rachh, Eric Keaveny, Leslie Greengard, Aleksandar Donev

We present a fluctuating boundary integral method (FBIM) for overdamped Brownian Dynamics (BD) of two-dimensional periodic suspensions of rigid particles of complex shape immersed in a Stokes fluid.

Numerical Analysis

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