activity
20232025
most citedEchocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Unsupervised Learning based Element Resource Allocation for Reconfigurable Intelligent Surfaces in mmWave Network

Pujitha Mamillapalli, Yoghitha Ramamoorthi, Abhinav Kumar +3

The increasing demand for high data rates and seamless connectivity in wireless systems has sparked significant interest in reconfigurable intelligent surfaces (RIS) and artificial…

cs.AI2025

Do GFlowNets Transfer? Case Study on the Game of 24/42

Adesh Gupta, Abhinav Kumar, Mansi Gupta +1

Generating diverse solutions is key to human-like reasoning, yet autoregressive language models focus on single accurate responses, limiting creativity. GFlowNets optimize solution…

stat.ML2024

Learning Mixtures of Unknown Causal Interventions

Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler

The ability to conduct interventions plays a pivotal role in learning causal relationships among variables, thus facilitating applications across diverse scientific disciplines suc…

cs.CV2024

Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning

Ayush Singh, Mansi Gupta, Shivank Garg +2

Vision-Language Models (VLMs) have transformed tasks requiring visual and reasoning abilities, such as image retrieval and Visual Question Answering (VQA). Despite their success, V…

eess.IV2023★ 1 cited

Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction

Adil Dahlan, Cyril Zakka, Abhinav Kumar +4

Cardiovascular diseases stand as the primary global cause of mortality. Among the various imaging techniques available for visualising the heart and evaluating its function, echoca…