Under Construction.

A more complete list of publications can be found here.
Towards Interpretable Reinforcement Learning: Interactive Visualizations To Increase Insight ( Thesis, Event )
S Deshpande
[(Masters Thesis)]
Experimentation, design, and prototype of a system to increase insight into reinforcement learning algorithms and agent policies through interactive visualizations. Discussion of a related research investigation to increase insight into the learning dynamics of actor-critic learning algorithms by visualizing optimization landscapes.
Interactive Visualization for Debugging RL ( Paper, Walkthrough, Demo )
S Deshpande, B Eysenbach, J Schneider
[NeurIPS 2020 Deep Reinforcement Learning Workshop]
Design and implementation of an interactive visualization tool for debugging and interpreting reinforcement learning algorithms.
Vizarel: A System to Help Better Understand RL Agents ( Paper )
S Deshpande, J Schneider
[(Spotlight Talk) ICML 2020 Workshop on Human Interpretability in Machine Learning (WHI)]
Prototype of a visualization tool for reinforcement learning researchers to interpret, introspect, and gain intuition for the successes and failures of trained policies.
Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy ( Paper, Website, Code )
S Deshpande, BD Bue, DR Thompson, V Natraj, M Parente
[ICML 2019 Workshop. Climate Change: How Can AI Help?]
Designed neural network architectures to emulate differential equation solvers. Primary motivation was to help better understand climate change effects on coral reefs. Work led to 10x improvement over previous known solution.
Neural network radiative transfer for imaging spectroscopy ( Paper )
BD Bue, DR Thompson, S Deshpande, M Eastwood, RO Green, V Natraj, T Mullen, M Parente
[(Journal) Atmospheric Measurement Techniques]
Demonstrated that nonparametric function approximation with neural networks can replicate radiative transfer calculations, generate accurate radiance spectra at multiple wavelengths over a diverse range of surface and atmosphere state parameters, and can act as surrogate forward models for atmospheric correction procedures. Evaluated the approach in atmospheric correction of data from the PRISM airborne imaging spectrometer.
GARUDA: GMRT Archival Utility for Data Analysis ( Paper, Slides, Code, Images )
S Deshpande*, R Desai*, A Sakhadeo*, S Shaikh*, Y Wadadekar, H Intema, B Ratnakumar, L George
[(Lightning Talk) ADASS XXVIII]
[(Journal) Publications of the Astronomical Society of the Pacific]
Built a compute cluster and data science pipeline to synthesize images from a radio telescope. Effort reduced synthesis time from 6+ weeks to 10-12 hours. Project is currently generating one of the world's largest catalogs of sub-GHz frequency radio astronomy images.
Spinet: Analyzing Statistical Properties Of Data In Large Scale Datacenters ( Slides )
S Deshpande, A Nambi, V Padmanabhan
Explored the use of streaming algorithms to monitor data center network traffic. Potential future tech transfer to Microsoft Azure.
India Digital Heritage Project: Designing An Immersive VR Walkthrough ( Website )
Worked on optimizing a VR rendering pipeline for mobile devices. Broader effort was to preserve heritage monuments through 3D laser scans. Got to present to the Secretary of Science and Technology (Govt. of India), and Secretary for Ministry of Culture :)