Rishabh Gupta
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View article: Maximal Entropy Formalism and the Restricted Boltzmann Machine
Maximal Entropy Formalism and the Restricted Boltzmann Machine Open
The connection between the maximum entropy (MaxEnt) formalism and restricted Boltzmann machines (RBMs) is natural as both give rise to a Boltzmann-like distribution with constraints enforced by Lagrange multipliers, which correspond to RBM…
View article: Entropy-Assisted Quality Pattern Identification in Finance
Entropy-Assisted Quality Pattern Identification in Finance Open
Short-term patterns in financial time series form the cornerstone of many algorithmic trading strategies, yet extracting these patterns reliably from noisy market data remains a formidable challenge. In this paper, we propose an entropy-as…
View article: Optimizing database performance through efficient connection management
Optimizing database performance through efficient connection management Open
Database connection management emerges as a critical yet often overlooked optimization strategy for high-scale applications facing performance bottlenecks. By implementing specialized connection poolers like Mongobetween for MongoDB and Pg…
View article: Maximal Entropy Formalism and the Restricted Boltzmann Machine
Maximal Entropy Formalism and the Restricted Boltzmann Machine Open
The connection between the Maximum Entropy (MaxEnt) formalism and Restricted Boltzmann Machines (RBMs) is natural, as both give rise to a Boltzmann-like distribution with constraints enforced by Lagrange multipliers, which corresponds to R…
View article: Entropy-Assisted Quality Pattern Identification In Finance
Entropy-Assisted Quality Pattern Identification In Finance Open
Short-term patterns in financial time series form the cornerstone of many algorithmic trading strategies, yet extracting these patterns reliably from noisy market data remains a formidable challenge. In this paper, we propose an entropy-as…
View article: Time resolved quantum tomography in molecular spectroscopy by the Maximal Entropy Approach
Time resolved quantum tomography in molecular spectroscopy by the Maximal Entropy Approach Open
Attosecond science offers unprecedented precision in probing the initial moments of chemical reactions, revealing the dynamics of molecular electrons that shape reaction pathways. A fundamental question emerges: what role, if any, do quant…
View article: Market Trends, Challenges and Solutions of Agricultural Harvesting Machinery
Market Trends, Challenges and Solutions of Agricultural Harvesting Machinery Open
The main focus of the study is to investigate the integration of Agriculture in *Bharat* with tools, machinery, understanding market trends as business Student to achieve sustainability Profitable objectives Specifically, the study aims to…
View article: Physics inspired quantum simulation of resonating valence bond states -- a prototypical template for a spin-liquid ground state
Physics inspired quantum simulation of resonating valence bond states -- a prototypical template for a spin-liquid ground state Open
Spin-liquids -- an emergent, exotic collective phase of matter -- have garnered enormous attention in recent years. While experimentally, many prospective candidates have been proposed and realized, theoretically modeling real materials th…
View article: Wastewater Problems Analysis and Their Treatment Using Eco-friendly Techniques: An Overview
Wastewater Problems Analysis and Their Treatment Using Eco-friendly Techniques: An Overview Open
In the current changing environment where almost all activities involve the use of clean water, waste water is discharged in a huge amount, which not only pollutes the environment but also causes many diseases in human as well as in animal…
View article: NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation
NL-Augmenter 🦎 → 🐍 A Framework for Task-Sensitive Natural Language Augmentation Open
Data augmentation is an important method for evaluating the robustness of and enhancing the diversity of training data for natural language processing (NLP) models. In this paper, we present NL-Augmenter, a new participatory Python-based n…
View article: Dimension Reduction and Redundancy Removal through Successive Schmidt Decompositions
Dimension Reduction and Redundancy Removal through Successive Schmidt Decompositions Open
Quantum computers are believed to have the ability to process huge data sizes, which can be seen in machine learning applications. In these applications, the data, in general, are classical. Therefore, to process them on a quantum computer…
View article: Variational approach to quantum state tomography based on maximal entropy formalism
Variational approach to quantum state tomography based on maximal entropy formalism Open
Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices.
View article: Quantum machine learning for chemistry and physics
Quantum machine learning for chemistry and physics Open
Quantum variants of machine learning algorithms are discussed with emphasis on methodology, learning techniques and applications in broad and distinct domains of chemical physics.
View article: Quantum computing enhanced machine learning for physico-chemical applications
Quantum computing enhanced machine learning for physico-chemical applications Open
Machine learning (ML) has emerged into formidable force for identifying hidden but pertinent patterns within a given data set with the objective of subsequent generation of automated predictive behavior. In the recent years, it is safe to …
View article: $\Delta$NO and the complexities of electron correlation in simple hydrogen clusters
$\Delta$NO and the complexities of electron correlation in simple hydrogen clusters Open
The $\Delta$NO two-electron density matrix (2-RDM) and energy expression are derived from a multideterminantal wave function. The approximate $\Delta$NO 2-RDM is combined with an on-top density functional and a double-counting correction t…
View article: Convergence of a Reconstructed Density Matrix to a Pure State Using the Maximal Entropy Approach
Convergence of a Reconstructed Density Matrix to a Pure State Using the Maximal Entropy Approach Open
Impressive progress has been made in the past decade in the study of technological applications of varied types of quantum systems. With industry giants like IBM laying down their roadmap for scalable quantum devices with more than 1000-qu…
View article: Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction Open
Sampling is an established technique to scale graph neural networks to large graphs. Current approaches however assume the graphs to be homogeneous in terms of relations and ignore relation types, critically important in biomedical graphs.…
View article: SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus Open
Word embeddings are a basic building block of modern NLP pipelines. Efforts have been made to learn rich, efficient, and interpretable embeddings for large generic datasets available in the public domain. However, these embeddings have lim…
View article: Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown Open
Air pollution has a wide range of implications on agriculture, economy, road accidents, and health. In this paper, we use novel deep learning methods for short-term (multi-step-ahead) air-quality prediction in selected parts of Delhi, Indi…
View article: Maximal Entropy Approach for Quantum State Tomography
Maximal Entropy Approach for Quantum State Tomography Open
Quantum computation has been growing rapidly in both theory and experiments. In particular, quantum computing devices with a large number of qubits have been developed by IBM, Google, IonQ, and others. The current quantum computing devices…
View article: Disordered Phase in Ising and Metastability in Cellular Potts Models Hint at Glassy Dynamics
Disordered Phase in Ising and Metastability in Cellular Potts Models Hint at Glassy Dynamics Open
In this paper, quantum algorithms are to be used to simulate glassy systems in toy models. To look for glassy behavior, the energy landscape and spin configurations of the transverse field Ising model in a longitudinal field are studied. T…
View article: Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction
Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction Open
Time series prediction with neural networks has been the focus of much\nresearch in the past few decades. Given the recent deep learning revolution,\nthere has been much attention in using deep learning models for time series\nprediction, …
View article: Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion Open
Semantic Noise affects text analytics activities for the domain-specific industries significantly. It impedes the text understanding which holds prime importance in the critical decision making tasks. In this work, we formalize semantic no…
View article: DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services Open
Automatic estimation of relative difficulty of a pair of questions is an important and challenging problem in community question answering (CQA) services. There are limited studies which addressed this problem. Past studies mostly leverage…
View article: Impact of crude oil on exchange rate and stock market indices of brics nations
Impact of crude oil on exchange rate and stock market indices of brics nations Open
Oil is considered to be one of the most important non-renewable sources of energy and often plays a significant role in the growth of domestic and global economies. The impact of oil prices denominated in dollar terms on the BRICS nations …
View article: Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips Open
The quantity of music content is rapidly increasing and automated affective tagging of music video clips can enable the development of intelligent retrieval, music recommendation, automatic playlist generators, and music browsing interface…
View article: Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data Open
In this work, we address the problem of Named Entity Recognition (NER) in code-switched tweets as a part of the Workshop on Computational Approaches to Linguistic Code-switching (CALCS) at ACL'18. Code-switching is the phenomenon where a s…