This is the implementation of the paper: Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation.

Source code of the paper titled "Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources".

A Bayesian Neural Network with a horseshoe prior for improved interpretability

Comprehensive benchmark for RAG

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context (AAAI-2020)

Toolkit for evaluating and monitoring AI models in clinical settings

[NeurIPS'24] Knowledge Graph Fine-Tuning with Open-World Knowledge

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Accepted as a short paper at CIKM 2024.

The repository for WWW'24 short paper "Proactive Recommendation with Iterative Preference Guidance".

Source code for a comprehensive analysis of MTL over EHR timeseries data.

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes

[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

Self-Supervised Learning in PyTorch

[AAAI 2022] DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction

This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencoders, TF-IDF, Attention based BI-LSTM and Transformer Networks

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

FDSML Course Project 2020/21