168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Science BangaloreIN29 papers
- Indian Institute of Management BangaloreIN24 papers
- Sorbonne University Abu DhabiAE6 papers
- Amrita Vishwa VidyapeethamIN3 papers
- Duke-NUS Medical SchoolSG2 papers
- IBM (India)IN2 papers
- Indian Institute of Technology BombayIN2 papers
- Indian Institute of Technology GuwahatiIN2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Kyushu UniversityJP2 papers
- National University of SingaporeSG2 papers
- Sorbonne UniversitéFR2 papers
102 papers
Predisposition of galaxy clusters to producing exotic hyperbolic umbilic lensing configurations
Quentin Basto, Johan Richard, David J. Lagattuta +2
Strong gravitational lensing is a powerful tool for investigating the universe's large-scale structure and understanding the properties of dark matter and dark energy. The magnific…
Spatio-Temporal Signatures of Intermittency in Helically Rotating Turbulence through Topological Data Analysis
Snigdhashree Mallick, Yashwanth Ramamurthi, Shiva Kumar Malapaka +1
A central challenge in hydrodynamic turbulence is identifying precisely when, and at which length scales, strong turbulent fluctuations (STFs) emerge and develop into intermittent…
Carbon Farming: An Expository, Inter-Disciplinary Survey
V. Priyanka, Geetha Charan, Rohit P. Suresh +10
Carbon farming is the collection of agricultural best practices specifically designed to maximize the capture and long-term storage of atmospheric carbon dioxide in soils and plant…
NeuRehab: A Reinforcement Learning and Spiking Neural Network-Based Rehab Automation Framework
Phani Pavan Kambhampati, Chainesh Gautam, Jagan Palaniswamy +1
Recent advancements in robotic rehabilitation therapy have provided modular exercise systems for post-stroke muscle recovery with basic control schemes. But these systems struggle…
Efficient Label Refinement for Face Parsing Under Extreme Poses Using 3D Gaussian Splatting
Ankit Gahlawat, Anirban Mukherjee, Dinesh Babu Jayagopi
Accurate face parsing under extreme viewing angles remains a significant challenge due to limited labeled data in such poses. Manual annotation is costly and often impractical at s…
GenGrid: A Generalised Distributed Experimental Environmental Grid for Swarm Robotics
Pranav Kedia, Madhav Rao
GenGrid is a novel comprehensive open-source, distributed platform intended for conducting extensive swarm robotic experiments. The modular platform is designed to run swarm roboti…
KAN-powered large-target detection for automotive radar
Vinay Kulkarni, V. V. Reddy, Neha Maheshwari
This paper presents a novel radar signal detection pipeline focused on detecting large targets such as cars and SUVs. Traditional methods, such as Ordered-Statistic Constant False…
Effect of time-dependent sinusoidal electric field on the onset of electroconvection in a viscoelastic fluid layer
C. Rudresha, C. Balaji, V. Vidya Shree +1
Time-periodic electric field modulation of a viscoelastic dielectric fluid layer heated from below and cooled from above is examined using an Oldroyd-B type liquid. On the basis of…
ScaleViz: Scaling Visualization Recommendation Models on Large Data
Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4
Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
Subhadip Nandi, Neeraj Agrawal
Few-Shot Cross-Domain NER is the process of leveraging knowledge from data-rich source domains to perform entity recognition on data scarce target domains. Most previous state-of-t…
MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals
Ajay B S, Phani Pavan K, Madhav Rao
Long short-term memory (LSTM) has emerged as a definitive network for analyzing and inferring time series data. LSTM has the capability to extract spectral features and a mixture o…
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space
Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan
Among the many variants of RL, an important class of problems is where the state and action spaces are continuous -- autonomous robots, autonomous vehicles, optimal control are all…
Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar +1
Continual learning (CL) enables models to adapt to evolving data streams without catastrophic forgetting, a fundamental requirement for real-world AI systems. However, the current…
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
Yash Jakhmola, Madhurima Panja, Nitish Kumar Mishra +3
Spatiotemporal forecasting of traffic flow data represents a typical problem in the field of machine learning, impacting urban traffic management systems. In general, spatiotempora…
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
Stefan Abi-Karam, Rishov Sarkar, Allison Seigler +7
Machine learning (ML) techniques have been applied to high-level synthesis (HLS) flows for quality-of-result (QoR) prediction and design space exploration (DSE). Nevertheless, the…
Towards understanding the nature of direct functional connectivity in visual brain network
Debanjali Bhattacharya, Neelam Sinha
Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC st…
An Algorithm for Fast and Correct Computation of Reeb Spaces for PL Bivariate Fields
Amit Chattopadhyay, Yashwanth Ramamurthi, Osamu Saeki
The Reeb space is a fundamental data structure in computational topology that represents the fiber topology of a multi-field (or multiple scalar fields), extending the level set to…
An Identity Based Agent Model for Value Alignment
Karthik Sama, Janvi Chhabra, Arpitha Srivatsha Malavalli +2
Social identities play an important role in the dynamics of human societies, and it can be argued that some sense of identification with a larger cause or idea plays a critical rol…
Image complexity based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning
Debanjali Bhattacharya, Neelam Sinha, Yashwanth R. +1
This study proposes a new approach that investigates differences in topological characteristics of visual networks, which are constructed using fMRI BOLD time-series corresponding…
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik +2
Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, inclu…
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity
Deepika Saxena, Ishu Gupta, Rishabh Gupta +2
Cloud virtualization technology, ingrained with physical resource sharing, prompts cybersecurity threats on users' virtual machines (VM)s due to the presence of inevitable vulnerab…
3HAN: A Deep Neural Network for Fake News Detection
Sneha Singhania, Nigel Fernandez, Shrisha Rao
The rapid spread of fake news is a serious problem calling for AI solutions. We employ a deep learning based automated detector through a three level hierarchical attention network…
Prediction of Transportation Index for Urban Patterns in Small and Medium-sized Indian Cities using Hybrid RidgeGAN Model
Rahisha Thottolil, Uttam Kumar, Tanujit Chakraborty
The rapid urbanization trend in most developing countries including India is creating a plethora of civic concerns such as loss of green space, degradation of environmental health,…
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
Rahul Madhavan, Rishabh Garg, Kahini Wadhawan +1
We propose a method to control the attributes of Language Models (LMs) for the text generation task using Causal Average Treatment Effect (ATE) scores and counterfactual augmentati…