Srinivas Soumitri Miriyala

Orcid: 0000-0001-7158-9295

According to our database1, Srinivas Soumitri Miriyala authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models.
CoRR, May, 2026

TOC-SR: Task-Optimal Compact diffusion for Image Super Resolution.
CoRR, May, 2026

Unlocking the Edge deployment and ondevice acceleration of multi-LoRA enabled one-for-all foundational LLM.
CoRR, April, 2026

Quantization with Unified Adaptive Distillation to enable multi-LoRA based one-for-all Generative Vision Models on edge.
CoRR, March, 2026

EdgeDiT: Hardware-Aware Diffusion Transformers for Efficient On-Device Image Generation.
CoRR, March, 2026

Towards Efficient Image Deblurring for Edge Deployment.
CoRR, January, 2026

NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration.
CoRR, January, 2026

2025
Mobile-friendly Image de-noising: Hardware Conscious Optimization for Edge Application.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Efficient Visual Question Answering on Embedded Devices: Cross-Modality Attention With Evolutionary Quantization.
Proceedings of the IEEE International Conference on Image Processing, 2024

Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Representations from Explainable and Connectionist Approaches for Visual Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mixed Precision Neural Quantization with Multi-Objective Bayesian Optimization for on-Device Deployment.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning.
Expert Syst. Appl., 2023

Receptive Field Reliant Zero-Cost Proxies for Neural Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2023

2020
An Evolutionary Neuro-Fuzzy C-means Clustering Technique.
Eng. Appl. Artif. Intell., 2020

Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Uncertainty quantification using Auto-tuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2018
TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study.
Eur. J. Oper. Res., 2018

Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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