Arnav Jain
YOU?
Author Swipe
View article: Compensatory responses to glaucoma pathology in the dorsolateral geniculate nucleus
Compensatory responses to glaucoma pathology in the dorsolateral geniculate nucleus Open
SUMMARY Glaucoma disrupts the conveyance of retinal signals to visual regions of the brain such as the dorsolateral geniculate nucleus (dLGN) due to degeneration of retinal ganglion cells (RGCs) and their axons. Although plasticity during …
View article: Multi-Turn Code Generation Through Single-Step Rewards
Multi-Turn Code Generation Through Single-Step Rewards Open
We address the problem of code generation from multi-turn execution feedback. Existing methods either generate code without feedback or use complex, hierarchical reinforcement learning to optimize multi-turn rewards. We propose a simple ye…
View article: Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Open
In inverse reinforcement learning (IRL), an agent seeks to replicate expert demonstrations through interactions with the environment. Traditionally, IRL is treated as an adversarial game, where an adversary searches over reward models, and…
View article: LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement Open
In this paper, we propose long short term memory speech enhancement network (LSTMSE-Net), an audio-visual speech enhancement (AVSE) method. This innovative method leverages the complementary nature of visual and audio information to boost …
View article: LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement Open
In this paper, we propose long short term memory speech enhancement network (LSTMSE-Net), an audio-visual speech enhancement (AVSE) method. This innovative method leverages the complementary nature of visual and audio information to boost …
View article: Applying Multivariate Linear Regression and the Hertz Equation for Development of a Novel Ocular Injury Apparatus
Applying Multivariate Linear Regression and the Hertz Equation for Development of a Novel Ocular Injury Apparatus Open
Soccer is the leading cause of all sports-related ocular injuries in Europe and Israel and leads to blindness at a disproportionately high rate, especially among children (Thompson et al., 2019). With soccer being the most popular sport in…
View article: Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity Open
Contrastive Language-Image Pre-training (CLIP) on large-scale image-caption datasets learns representations that can achieve remarkable zero-shot generalization. However, such models require a massive amount of pre-training data. Improving…
View article: Automated temporalis muscle quantification and growth charts for children through adulthood
Automated temporalis muscle quantification and growth charts for children through adulthood Open
Lean muscle mass (LMM) is an important aspect of human health. Temporalis muscle thickness is a promising LMM marker but has had limited utility due to its unknown normal growth trajectory and reference ranges and lack of standardized meas…
View article: A Secure Peer-to-Peer Image Sharing Using Rubik’s Cube Algorithm and Key Distribution Centre
A Secure Peer-to-Peer Image Sharing Using Rubik’s Cube Algorithm and Key Distribution Centre Open
In this work, we build upon an implementation of a peer-to-peer image encryption algorithm: “Rubik’s cube algorithm”. The algorithm utilizes pixel-level scrambling and XOR-based diffusion, facilitated through the symmetric key. Empirical a…
View article: Confidence-Calibrated Ensemble Dense Phrase Retrieval
Confidence-Calibrated Ensemble Dense Phrase Retrieval Open
In this paper, we consider the extent to which the transformer-based Dense Passage Retrieval (DPR) algorithm, developed by (Karpukhin et. al. 2020), can be optimized without further pre-training. Our method involves two particular insights…
View article: Maximum State Entropy Exploration using Predecessor and Successor Representations
Maximum State Entropy Exploration using Predecessor and Successor Representations Open
Animals have a developed ability to explore that aids them in important tasks such as locating food, exploring for shelter, and finding misplaced items. These exploration skills necessarily track where they have been so that they can plan …
View article: On Challenges Faced by Ayurveda industry in India and Studying the Possible Hierarchical Interrelationships amongst them using ISM Methodology
On Challenges Faced by Ayurveda industry in India and Studying the Possible Hierarchical Interrelationships amongst them using ISM Methodology Open
Present research has two fold aspects.First half deals with the exploration of various challenges faced by Ayurveda industry in India and second half deals with studying the hierarchical inter-relationships amongst these challenges with th…
View article: LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification Open
Time series classification is an important data mining task that has received a lot of interest in the past two decades. Due to the label scarcity in practice, semi-supervised time series classification with only a few labeled samples has …
View article: Learning Robust Dynamics through Variational Sparse Gating
Learning Robust Dynamics through Variational Sparse Gating Open
Learning world models from their sensory inputs enables agents to plan for actions by imagining their future outcomes. World models have previously been shown to improve sample-efficiency in simulated environments with few objects, but hav…
View article: Towards Safer and Smarter Design for Lithium-Ion-Battery-Powered Electric Vehicles: A Comprehensive Review on Control Strategy Architecture of Battery Management System
Towards Safer and Smarter Design for Lithium-Ion-Battery-Powered Electric Vehicles: A Comprehensive Review on Control Strategy Architecture of Battery Management System Open
As the battery provides the entire propulsion power in electric vehicles (EVs), the utmost importance should be ascribed to the battery management system (BMS) which controls all the activities associated with the battery. This review arti…
View article: Attendance Monitoring System Using Face Recognition
Attendance Monitoring System Using Face Recognition Open
The primitive method of taking attendance through pen-paper or registers by the organizations and institutions are not much efficient these days. The proxies of the absentees by their groups or friends are much common due to which this imp…
View article: GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification Open
This paper develops the GalaXC algorithm for Extreme Classification, where the task is to annotate a document with the most relevant subset of labels from an extremely large label set. Extreme classification has been successfully applied t…
View article: A NOVEL META-MACHINE LEARNING APPROACH TO DIAGNOSE STRESS FROM INDIVIDUAL FACTORS USING A SELF-RETRIEVED DATASET AND THEN PROVIDE DIRECTED TREATMENT
A NOVEL META-MACHINE LEARNING APPROACH TO DIAGNOSE STRESS FROM INDIVIDUAL FACTORS USING A SELF-RETRIEVED DATASET AND THEN PROVIDE DIRECTED TREATMENT Open
One of the main goals of machine learning is to make a General Artificial Intelligence. Currently, human artificial intelligence researchers work on meticulously manipulating model parameters by hand in order to arrive at highly optimized …
View article: Predicting Regional Locust Swarm Distribution with Recurrent Neural\n Networks
Predicting Regional Locust Swarm Distribution with Recurrent Neural\n Networks Open
Locust infestation of some regions in the world, including Africa, Asia and\nMiddle East has become a concerning issue that can affect the health and the\nlives of millions of people. In this respect, there have been attempts to\nresolve o…
View article: Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks Open
Locust infestation of some regions in the world, including Africa, Asia and Middle East has become a concerning issue that can affect the health and the lives of millions of people. In this respect, there have been attempts to resolve or r…
View article: Faster Unsupervised Semantic Inpainting: A GAN Based Approach
Faster Unsupervised Semantic Inpainting: A GAN Based Approach Open
In this paper, we propose to improve the inference speed and visual quality of contemporary baseline of Generative Adversarial Networks (GAN) based unsupervised semantic inpainting. This is made possible with better initialization of the c…
View article: The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors Open
Contemporary deep learning based inpainting algorithms are mainly based on a hybrid dual stage training policy of supervised reconstruction loss followed by an unsupervised adversarial critic loss. However, there is a dearth of literature …
View article: Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer
Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer Open
More and more organizations are realizing the importance of going green and opting for trade with a greener and cleaner environment concern .Present research work explores how carbon emissions concerns could be incorporated and what impact…
View article: A Framework to Evaluate the User Experience of Digital Applications using User Centered Design
A Framework to Evaluate the User Experience of Digital Applications using User Centered Design Open
Digital applications have become ubiquitous and pervaded all spheres of business and society.This has given rise to the need to measure and evaluate the user experience of such applications.Although, there exist several metrics to measure …
View article: Improved Techniques for GAN based Facial Inpainting
Improved Techniques for GAN based Facial Inpainting Open
In this paper we present several architectural and optimization recipes for generative adversarial network(GAN) based facial semantic inpainting. Current benchmark models are susceptible to initial solutions of non-convex optimization crit…
View article: americast/CFD: CFD
americast/CFD: CFD Open
Snapshot archive for CFD.