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 (EMDL@MobiSys, 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)

A vision-based deep on-device intelligent bus stop recognition system. - Gautham Krishna Gudur; Ateendra Ramesh; R. Srinivasan (UbiComp/ISWC Adjunct, 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 (ICDM Workshops, 2019)

Label Frequency Transformation for Multi-Label Multi-Class Text Classification. - Raghavan A. K.; Venkatesh Umaashankar; Gautham Krishna Gudur (KONVENS, 2019)

ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. - Gautham Krishna Gudur; Prahalathan Sundaramoorthy; Venkatesh Umaashankar (CoRR, 2019)

Resource-Constrained Federated Learning with Heterogeneous Labels and Models. - Gautham Krishna Gudur; Bala Shyamala Balaji; Satheesh K. Perepu (CoRR, 2020)

Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. - Gautham Krishna Gudur; Satheesh K. Perepu (CoRR, 2020)

Bayesian Active Learning for Wearable Stress and Affect Detection. - Abhijith Ragav; Gautham Krishna Gudur (CoRR, 2020)

Zero-Shot Federated Learning with New Classes for Audio Classification. - Gautham Krishna Gudur; Satheesh Kumar Perepu (Interspeech, 2021)

Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. - Gautham Krishna Gudur; Raaghul R; Adithya K; Shrihari Vasudevan (ICMLA, 2022)

Can Calibration Improve Sample Prioritization? - Ganesh Tata; Gautham Krishna Gudur; Gopinath Chennupati; Mohammad Emtiyaz Khan (CoRR, 2022)

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 (NeurIPS, 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)

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 001 (CoRR, 2025)

GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting. - Ebrahim Farahmand; Reza Rahimi Azghan; Nooshin Taheri-Chatrudi; Velarie Yaa Ansu-Baidoo; Eric Kim; Gautham Krishna Gudur; Mohit Malu; Owen Krueger; Edison Thomaz; Giulia Pedrielli; Pavan K. Turaga; Hassan Ghasemzadeh 001 (CoRR, 2025)

CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems. - Reza Rahimi Azghan; Gautham Krishna Gudur; Mohit Malu; Edison Thomaz; Giulia Pedrielli; Pavan K. Turaga; Hassan Ghasemzadeh 001 (CoRR, 2025)