Gautham Krishna Gudur

According to our database, Gautham Krishna Gudur authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset.

Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, February, 2025

2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.

Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi

CoRR, 2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.

Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Can Calibration Improve Sample Prioritization?

Ganesh Tata, Gautham Krishna Gudur, Gopinath Chennupati, Mohammad Emtiyaz Khan

CoRR, 2022

Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection.

Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Zero-Shot Federated Learning with New Classes for Audio Classification.

Gautham Krishna Gudur, Satheesh Kumar Perepu

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Bayesian Active Learning for Wearable Stress and Affect Detection.

Abhijith Ragav, Gautham Krishna Gudur

CoRR, 2020

Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring.

Gautham Krishna Gudur, Satheesh K. Perepu

CoRR, 2020

Resource-Constrained Federated Learning with Heterogeneous Labels and Models.

Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu

CoRR, 2020

2019

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition.

Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar

CoRR, 2019

Label Frequency Transformation for Multi-Label Multi-Class Text Classification.

Raghavan A. K., Venkatesh Umaashankar, Gautham Krishna Gudur

Proceedings of the 15th Conference on Natural Language Processing, 2019

A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization.

Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A vision-based deep on-device intelligent bus stop recognition system.

Gautham Krishna Gudur, Ateendra Ramesh, R. Srinivasan

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018

A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning.

Gautham Krishna Gudur, Karthik Subramanian Nathan, Yogesh Kumar B, Ankith A. Prabhu, Ajay Kannan, Vineeth Vijayaraghavan

CoRR, 2018

HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices.

Prahalathan Sundaramoorthy, Gautham Krishna Gudur, Manav Rajiv Moorthy, R. Nidhi Bhandari, Vineeth Vijayaraghavan

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018