213 citations · 357 across the 13 of their papers we have counts for
13 papers
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang, Shuai Shao, Saurabh Verma +1
Label efficiency has become an increasingly important objective in deep learning applications. Active learning aims to reduce the number of labeled examples needed to train deep ne…
Set-valued α-fractal functions
Megha Pandey, Tanmoy Som, Saurabh Verma
In this paper, we introduce the concept of the -fractal function and fractal approximation for a set-valued continuous map defined on a closed and bounded interval of real numbe…
Fractal polynomials On the Sierpiński gasket and some dimensional results
V. Agrawal, S. Verma, T. Som
In this paper, we explore some significant properties associated with a fractal operator on the space of all continuous functions defined on the Sierpiński Gasket (SG). We also pro…
Fractal Interpolation Function On Products of the Sierpiński Gaskets
S. A. Prasad, S. Verma
In this paper, we aim to construct fractal interpolation function(FIF) on the product of two Sierpiński gaskets. Further, we collect some results regarding smoothness of the constr…
Vector-valued fractal functions: Fractal dimension and Fractional calculus
Manuj Verma, Amit Priyadarshi, Saurabh Verma
There are many research available on the study of real-valued fractal interpolation function and fractal dimension of its graph. In this paper, our main focus is to study the dimen…
Fractal dimension for a class of complex-valued fractal interpolation functions
Manuj Verma, Amit Priyadarshi, Saurabh Verma
There are many research papers dealing with fractal dimension of real-valued fractal functions in the recent literature. The main focus of the present paper is to study fractal dim…
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Nima Noorshams, Saurabh Verma, Aude Hofleitner
Since its inception, Facebook has become an integral part of the online social community. People rely on Facebook to make connections with others and build communities. As a result…
Physics-Guided Deep Neural Networks for Power Flow Analysis
Xinyue Hu, Haoji Hu, Saurabh Verma +1
Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc.…
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma, Zhi-Li Zhang
Learning powerful data embeddings has become a center piece in machine learning, especially in natural language processing and computer vision domains. The crux of these embeddings…
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Saurabh Agrawal, Saurabh Verma, Anuj Karpatne +3
Traditional approaches focus on finding relationships between two entire time series, however, many interesting relationships exist in small sub-intervals of time and remain feeble…
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma, Zhi-Li Zhang
Inspired by convolutional neural networks on 1D and 2D data, graph convolutional neural networks (GCNNs) have been developed for various learning tasks on graph data, and have show…
Graph Capsule Convolutional Neural Networks
Saurabh Verma, Zhi-Li Zhang
Graph Convolutional Neural Networks (GCNNs) are the most recent exciting advancement in deep learning field and their applications are quickly spreading in multi-cross-domains incl…
Mining Sub-Interval Relationships In Time Series Data
Saurabh Agrawal, Saurabh Verma, Gowtham Atluri +5
Time-series data is being increasingly collected and stud- ied in several areas such as neuroscience, climate science, transportation, and social media. Discovery of complex patter…