Publications & Patents

Interpretable Discovery of One-Parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries

Enhancing Trustworthiness of Fine-Tuned LLMs via Regularized Subset Selection

Debiasing Diffusion Models via Score Guidance

f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness

BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning

Unlearning in Diffusion Models under Data Constraints: A Variational Inference Approach

Learning Equivariant Functions via Quadratic Forms

Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs

An Efficient Subset Selection Strategy Using Text-Guided Data Attribution to Mitigate Simplicity Bias

MANTA: Physics-Informed Generalized Underwater Object Tracking

GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision

Graph-Guided Data Generation for Deep Learning based Scheduling in Wireless Access Networks

LangDAug: Langevin Data Augmentation for Domain Generalization in Medical Image Segmentation

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in GANs

Latent Mamba Operator for Partial Differential Equations

Lifelong Learning in StyleGAN through Latent Subspaces

Partially Blinded Unlearning: Class Unlearning from Bayesian Perspective

BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision

CoNO: Complex Neural Operator for Continuous Dynamical Physical Systems

Concept Forgetting via Label Annealing

A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities

FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models

UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors

RespTrack-Net: Respiration Parameters Tracking from PPG Using Deep Learning

Classification of Gait Phases Using Shank-Mounted Single IMU Sensor

Trust, But Attribute: Tracing Impact of Data on Trustworthiness in Supervised LLM Fine-Tuning

Automatic Identification of Obstructive Sleep Apnea Using Multimodal Features

A Robust VMD-PCA Integrated Approach for Accurate Respiration Parameter Estimation from PPG

Text-Guided Data Attribution: Attributing the Influence of Simplicity Bias to Dataset

Precision ABA Intervention for ASD Using NLP and Graph Centrality

Video-Based Real-Time Assessment and Diagnosis of ASD Using Deep Neural Networks

ResPara-Net: Respiration Parameter Estimation Using Wearable IMU and Deep Learning

WISER: Weak Supervision and Supervised Representation Learning for Drug Response Prediction

Cycle-Consistent Twin Energy-Based Models for Image-to-Image Translation

HOLMES: Hyper-Relational Knowledge Graphs for Multi-Hop QA using LLMs

GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

Constructing Bayesian Pseudo-Coresets using Contrastive Divergence

NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-Recorded Neural Signals

A Unified Framework for Discovering Discrete Symmetries

SoLAD: Sampling Over Latent Adapter for Few-Shot Generation

Fusing Conditional Submodular GAN and Programmatic Weak Supervision

CoDBench: A Critical Evaluation of Data-Driven Models for Continuous Dynamical Systems

LoMOE: Localized Multi-Object Editing via Multi-Diffusion

Teacher-Guided Graph Contrastive Learning

REMOVE: A Reference-Free Metric for Object Erasure

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

TripCEAiR: Multi-Loss Minimization for Surface EMG Based Airwriting Recognition

Few-Shot Cross-Domain Image Generation via Inference-Time Latent-Code Learning

Computer Vision-Based Assessment of Autistic Children

Neural Discovery of Permutation Subgroups

Clustering Single-cell RNA Sequence Data Using Information Maximized Representations

Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders

SurfMyoAiR: EMG-Based Framework for Airwriting Recognition

Adaptive Mixing of Auxiliary Losses in Supervised Learning

Activity Schedule Modeling Using Machine Learning

CoroNetGAN: Controlled Pruning of GANs via Hypernetworks

Neural Compound-Word (Sandhi) Generation in Sanskrit

SSDMM-VAE: Variational Multi-Modal Disentangled Representation Learning

Machine Learning-Based ABA Treatment Recommendation for ASD

ImAiR: Airwriting Recognition Framework Using Image Representation of IMU Signals

Deep Learning-Based Pan-Cancer Classification via Gene Expression Signatures

scRAE: Deterministic Regularized Autoencoders for Clustering Single-cell Gene Expression Data

Testing and Enhancing Spatial Transferability of ANN-Based Travel Behavior Models

ImaGene: A Web-Based Software Platform for Tumor Radiogenomic Evaluation and Reporting

Unsupervised Domain Adaptation for ASR in Low-Resource Languages

SCLAiR: Supervised Contrastive Learning for Airwriting Recognition

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography

Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections

Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search

FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto Encoders

Effect of the Latent Structure on Clustering with GANs

A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition

Adversarial Approximate Inference for Speech to Electroglottograph Conversion

Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search

Estimation of Respiratory Pattern from Video using Selective Ensemble Aggregation

MaskAAE: Latent Space Optimization for Adversarial Auto-Encoders

Cumulative Impulse Strength for Noise-Robust GCI Extraction

C-MI-GAN: Estimation of Conditional Mutual Information using MinMax Formulation

Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism

Estimation of Voice Onset Time in Continuous Speech Using Temporal Measures

Detection of Glottal Closure Instants from Raw Speech using CNNs

Epoch Extraction Based on Integrated Linear Prediction Residual Using Plosion Index

System and method for cross domain generalization for industrial AI applications

EdgeEgg — Hand-held electrode-free electroglottograph using neural networks

System and method for functional skill assessment using video-to-video adaptation

Determining Respiratory Pattern from Video

Extracting Periodic Signal from Video for Physiological Measurement

Estimating Respiratory Phase from Video

Determining Respiration Rate from Video

Detecting Sentiment by Analyzing Human Speech

Methods and Systems for Classifying Audio Segments

Identifying Keywords in Speech Signal

Modelling Irregularly Sampled Temporal Data Using Kalman Filter

Forecasting Patient Vital Measurements for Healthcare Analytics

Predicting Admission of a Human Subject to a Medical Ward