Souradeep Nanda
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View article: InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Open
In this paper, we introduce InSQuAD, designed to enhance the performance of In-Context Learning (ICL) models through Submodular Mutual Information} (SMI) enforcing Quality and Diversity among in-context exemplars. InSQuAD achieves this thr…
View article: MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation Open
The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users. The intended generation can be expressed in natural language, with the model producing faithful interp…
View article: M-VADER: A Model for Diffusion with Multimodal Context
M-VADER: A Model for Diffusion with Multimodal Context Open
We introduce M-VADER: a diffusion model (DM) for image generation where the output can be specified using arbitrary combinations of images and text. We show how M-VADER enables the generation of images specified using combinations of image…
View article: Active Node Detection in A Reconfigurable Microgrid using Minimum Spanning Tree Algorithms
Active Node Detection in A Reconfigurable Microgrid using Minimum Spanning Tree Algorithms Open
Microgrids are the solution to the growing demand for energy in the recent times. It has the potential to improve local reliability, reduce cost and increase penetration rates for distributed renewable energy generation. Inclusion of Renew…
View article: Design and analysis of the redundancy allocation problem using a greedy technique
Design and analysis of the redundancy allocation problem using a greedy technique Open
We present a very computationally light and fast approximation algorithm and then verify it with genetic algorithm and simulated annealing. We show that our algorithm is on par with GA and SA in terms of output produced while having a tigh…
View article: Design and analysis of the redundancy allocation problem using a greedy technique
Design and analysis of the redundancy allocation problem using a greedy technique Open
We present a very computationally light and fast approximation algorithm and then verify it with genetic algorithm and simulated annealing.We show that our algorithm is on par with GA and SA in terms of output produced while having a tight…