9 citations · 9 across the 15 of their papers we have counts for
15 papers
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Niharika Tewari, Nguyen Linh Dan Le, Mujie Liu +5
Dementia is a progressive neurodegenerative disorder with multiple etiologies, including Alzheimer's disease, Parkinson's disease, frontotemporal dementia, and vascular dementia. I…
Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning
Vardhan Palod, Pranav Mahajan, Veeky Baths +1
Despite a strong desire to quit, individuals with long-term substance use disorder (SUD) often struggle to resist drug use, even when aware of its harmful consequences. This discon…
Teaching Human Behavior Improves Content Understanding Abilities Of LLMs
Somesh Singh, Harini S, Yaman K Singla +4
Communication is defined as "Who says what to whom with what effect". A message from a communicator generates downstream receiver effects, also known as behavior. Receiver behavior…
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent
Hugo Laurencon, Yesoda Bhargava, Riddhi Zantye +4
Homeostasis is a biological process by which living beings maintain their internal balance. Previous research suggests that homeostasis is a learned behaviour. Recently introduced…
Long-Term Ad Memorability: Understanding & Generating Memorable Ads
Harini SI, Somesh Singh, Yaman K Singla +5
Despite the importance of long-term memory in marketing and brand building, until now, there has been no large-scale study on the memorability of ads. All previous memorability stu…
Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis
Shounak Naik, Rajaswa Patil, Swati Agarwal +1
Representational Similarity Analysis is a method from cognitive neuroscience, which helps in comparing representations from two different sources of data. In this paper, we propose…
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease
Yash Kumar, Piyush Maheshwari, Shreyansh Joshi +1
Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million individuals across the globe and is one of the leading causes of deaths globally. It is proje…
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field
Mahak Kothari, Shreyansh Joshi, Adarsh Nandanwar +2
Auditory attention is a selective type of hearing in which people focus their attention intentionally on a specific source of a sound or spoken words whilst ignoring or inhibiting…
Alzheimers Dementia Detection using Acoustic & Linguistic features and Pre-Trained BERT
Akshay Valsaraj, Ithihas Madala, Nikhil Garg +1
Alzheimers disease is a fatal progressive brain disorder that worsens with time. It is high time we have inexpensive and quick clinical diagnostic techniques for early detection an…
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks
Lizy Kanungo, Nikhil Garg, Anish Bhobe +2
This work proposes a hybrid Brain Computer Interface system for the automation of a wheelchair for the disabled. Herein a working prototype of a BCI-based wheelchair is detailed th…
Towards Using Diachronic Distributed Word Representations as Models of Lexical Development
Arijit Gupta, Rajaswa Patil, Veeky Baths
Recent work has shown that distributed word representations can encode abstract information from child-directed speech. In this paper, we use diachronic distributed word representa…
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages
Rajaswa Patil, Jasleen Dhillon, Siddhant Mahurkar +3
While there has been significant progress towards developing NLU resources for Indic languages, syntactic evaluation has been relatively less explored. Unlike English, Indic langua…
Reinforcement Learning and its Connections with Neuroscience and Psychology
Ajay Subramanian, Sharad Chitlangia, Veeky Baths
Reinforcement learning methods have recently been very successful at performing complex sequential tasks like playing Atari games, Go and Poker. These algorithms have outperformed…
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection
Rajaswa Patil, Veeky Baths
In this paper, we describe an approach for modelling causal reasoning in natural language by detecting counterfactuals in text using multi-head self-attention weights. We use pre-t…
Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface
Kratarth Goel, Raunaq Vohra, Anant Kamath +1
In this paper, we present a novel brain computer interface based home automation system using two responses - Steady State Visually Evoked Potential (SSVEP) and the eye-blink artif…