Srinivas Eswar
YOU?
Author Swipe
View article: Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory
Matrix-free Neural Preconditioner for the Dirac Operator in Lattice Gauge Theory Open
Linear systems arise in generating samples and in calculating observables in lattice quantum chromodynamics~(QCD). Solving the Hermitian positive definite systems, which are sparse but ill-conditioned, involves using iterative methods, suc…
View article: Structured Column Subset Selection for Bayesian Optimal Experimental Design
Structured Column Subset Selection for Bayesian Optimal Experimental Design Open
We consider optimal experimental design (OED) for Bayesian inverse problems, where the experimental design variables have a certain multiway structure. Given $d$ different experimental variables with $m_i$ choices per design variable $1 \l…
View article: Bayesian D-Optimal Experimental Designs via Column Subset Selection
Bayesian D-Optimal Experimental Designs via Column Subset Selection Open
This paper tackles optimal sensor placement for Bayesian linear inverse problems, a popular version of the more general Optimal Experimental Design (OED) problem, using the D-optimality criterion. This is done by establishing connections b…
View article: AminerMag X Dataset
AminerMag X Dataset Open
A subset of the Microsoft Open Academic Graph (OAG), a dataset consisting of a unification of the Microsoft Academic Graph (MAG) and ArnetMiner (AMiner) academic graphs each respectively containing 166,192,182 and 154,771,162 papers. From …
View article: AminerMag S Dataset
AminerMag S Dataset Open
A subset of the Microsoft Open Academic Graph (OAG), a dataset consisting of a unification of the Microsoft Academic Graph (MAG) and ArnetMiner (AMiner) academic graphs each respectively containing 166,192,182 and 154,771,162 papers. From …
View article: AminerMag S Dataset
AminerMag S Dataset Open
A subset of the Microsoft Open Academic Graph (OAG), a dataset consisting of a unification of the Microsoft Academic Graph (MAG) and ArnetMiner (AMiner) academic graphs each respectively containing 166,192,182 and 154,771,162 papers. From …
View article: AminerMag X Dataset
AminerMag X Dataset Open
A subset of the Microsoft Open Academic Graph (OAG), a dataset consisting of a unification of the Microsoft Academic Graph (MAG) and ArnetMiner (AMiner) academic graphs each respectively containing 166,192,182 and 154,771,162 papers. From …
View article: Distributed-Memory Parallel JointNMF
Distributed-Memory Parallel JointNMF Open
Joint Nonnegative Matrix Factorization (JointNMF) is a hybrid method for mining information from datasets that contain both feature and connection information. We propose distributed-memory parallelizations of three algorithms for solving …
View article: PLANC
PLANC Open
We consider the problem of low-rank approximation of massive dense nonnegative tensor data, for example, to discover latent patterns in video and imaging applications. As the size of data sets grows, single workstations are hitting bottlen…
View article: Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization
Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization Open
We develop the first distributed-memory parallel implementation of Symmetric Nonnegative Matrix Factorization (SymNMF), a key data analytics kernel for clustering and dimensionality reduction. Our implementation includes two different algo…
View article: Programming Strategies for Irregular Algorithms on the Emu Chick
Programming Strategies for Irregular Algorithms on the Emu Chick Open
The Emu Chick prototype implements migratory memory-side processing in a novel hardware system. Rather than transferring large amounts of data across the system interconnect, the Emu Chick moves lightweight thread contexts to near-memory c…
View article: Pixel Similarity
Pixel Similarity Open
This dataset consists of pixel-pixel similarity matrices that were created from large satellite images. These matrices can be factored to produce pixel embeddings for various image segmentation tasks.
View article: Pixel Similarity
Pixel Similarity Open
This dataset consists of pixel-pixel similarity matrices that were created from large satellite images. These matrices can be factored to produce pixel embeddings for various image segmentation tasks.
View article: An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization
An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization Open
Nonnegative matrix factorization (NMF) is a prominent technique for data dimensionality reduction that has been widely used for text mining, computer vision, pattern discovery, and bioinformatics. In this paper, a framework called ARkNLS (…
View article: Self-stabilizing Connected Components
Self-stabilizing Connected Components Open
For the problem of computing the connected components of a graph, this paper considers the design of algorithms that are resilient to transient hardware faults, like bit Hips. More specifically, it applies the technique of self-stabilizati…
View article: PLANC: Parallel Low Rank Approximation with Non-negativity Constraints
PLANC: Parallel Low Rank Approximation with Non-negativity Constraints Open
We consider the problem of low-rank approximation of massive dense non-negative tensor data, for example to discover latent patterns in video and imaging applications. As the size of data sets grows, single workstations are hitting bottlen…