Swaminathan Gurumurthy

Orcid: 0009-0006-0091-076X

According to our database1, Swaminathan Gurumurthy authored at least 14 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
VINSat: Solving the Lost-in-Space Problem with Visual-Inertial Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ReLU-QP: A GPU-Accelerated Quadratic Programming Solver for Model-Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos.
IEEE Robotics Autom. Lett., November, 2023

Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Deep Off-Policy Iterative Learning Control.
Proceedings of the Learning for Dynamics and Control Conference, 2023

2021
Joint inference and input optimization in equilibrium networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

MAME : Model-Agnostic Meta-Exploration.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Community Regularization of Visually-Grounded Dialog.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting.
CoRR, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
CoRR, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2017
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


  Loading...