Gautham Krishna Gudur

19 papers A* 1A 1C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gated Adaptation for Continual Learning in Human Activity Recognition. CoRR Reza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu, Edison Thomaz, Giulia Pedrielli, Pavan Turaga, Hassan Ghasemzadeh
2025	J	`jnl`	AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. CoRR Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh
2025	J	`jnl`	CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems. CoRR Reza Rahimi Azghan, Gautham Krishna Gudur, Mohit Malu, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh
2025	J	`jnl`	GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting. CoRR 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
2024	A*	`conf`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. NeurIPS Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi
2024	J	`jnl`	SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
2022	J	`jnl`	Can Calibration Improve Sample Prioritization? CoRR Ganesh Tata, Gautham Krishna Gudur, Gopinath Chennupati, Mohammad Emtiyaz Khan
2022	C	`conf`	Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. ICMLA Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan
2021	A	`conf`	Zero-Shot Federated Learning with New Classes for Audio Classification. Interspeech Gautham Krishna Gudur, Satheesh Kumar Perepu
2021	J	`jnl`	Zero-Shot Federated Learning with New Classes for Audio Classification. CoRR Gautham Krishna Gudur, Satheesh K. Perepu
2020	J	`jnl`	Bayesian Active Learning for Wearable Stress and Affect Detection. CoRR Abhijith Ragav, Gautham Krishna Gudur
2020	J	`jnl`	Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. CoRR Gautham Krishna Gudur, Satheesh K. Perepu
2020	J	`jnl`	Resource-Constrained Federated Learning with Heterogeneous Labels and Models. CoRR Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu
2019	—	`conf`	A Dynamically Adaptive Movie Occupancy Forecasting System with Feature Optimization. ICDM Workshops Sundararaman Venkataramani, Ateendra Ramesh, Sharan Sundar S, Aashish Kumar Jain, Gautham Krishna Gudur, Vineeth Vijayaraghavan
2019	—	`conf`	A vision-based deep on-device intelligent bus stop recognition system. UbiComp/ISWC Adjunct Gautham Krishna Gudur, Ateendra Ramesh, R. Srinivasan
2019	J	`jnl`	ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. CoRR Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar
2019	—	`conf`	Label Frequency Transformation for Multi-Label Multi-Class Text Classification. KONVENS Raghavan A. K., Venkatesh Umaashankar, Gautham Krishna Gudur
2018	J	`jnl`	A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. CoRR Gautham Krishna Gudur, Karthik Subramanian Nathan, Yogesh Kumar B, Ankith A. Prabhu, Ajay Kannan, Vineeth Vijayaraghavan
2018	—	`conf`	HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices. EMDL@MobiSys Prahalathan Sundaramoorthy, Gautham Krishna Gudur, Manav Rajiv Moorthy, R. Nidhi Bhandari, Vineeth Vijayaraghavan