Sagar Verma

Orcid: 0000-0003-3057-4964

According to our database1, Sagar Verma authored at least 22 papers between 2017 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Deep Neural Network Modeling of Electric Motors. (Modélisation, contrôle et supervision de moteurs électriques par réseaux de neurones profonds).
PhD thesis, 2023

Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise.
IEEE Trans. Ind. Electron., 2023

CertViT: Certified Robustness of Pre-Trained Vision Transformers.
CoRR, 2023


Investigating Model Robustness Against Sensor Variation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Have Foundational Models Seen Satellite Images?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Europa: Increasing Accessibility of Geospatial Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

GeoEngine: A Platform for Production-Ready Geospatial Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Sparsifying Networks via Subdifferential Inclusion.
Proceedings of the 38th International Conference on Machine Learning, 2021

EImprove - Optimizing Energy and Comfort in Buildings based on Formal Semantics and Reinforcement Learning.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

QFabric: Multi-Task Change Detection Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Scaling Test Case Generation For Expressive Decision Tables.
Proceedings of the 13th IEEE International Conference on Software Testing, 2020

Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report.
Proceedings of the International Joint Conference on Neural Networks, 2019

Detecting Urban Changes with Recurrent Neural Networks from Multitemporal Sentinel-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Tooling Framework for Instantiating Natural Language Querying System.
Proc. VLDB Endow., 2018

Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Diversity in Fashion Recommendation Using Semantic Parsing.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Collaborative Filtering with Label Consistent Restricted Boltzmann Machine.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017


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