Vijaya Krishna Yalavarthi
Vijaya Krishna Yalavarthi
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Steering top-k influencers in dynamic graphs via local updates
VK Yalavarthi, A Khan
2018 IEEE International Conference on Big Data (Big Data), 576-583, 2018
Select Your Questions Wisely: For Entity Resolution With Crowd Errors
VK Yalavarthi, X Ke, A Khan
ACM on Conference on Information and Knowledge Management, 317-326, 2017
A demonstration of PERC: probabilistic entity resolution with crowd errors
X Ke, M Teo, A Khan, VK Yalavarthi
Proceedings of the VLDB Endowment 11 (12), 1922-1925, 2018
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series
VK Yalavarthi, J Burchert, L Schmidt-Thieme
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
Open set recognition for time series classification
T Akar, T Werner, VK Yalavarthi, L Schmidt-Thieme
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 354-366, 2022
A novel incremental class learning technique for multi-class classification
MJ Er, VK Yalavarthi, N Wang, R Venkatesan
Advances in Neural Networks–ISNN 2016: 13th International Symposium on …, 2016
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
VK Yalavarthi, J Burchert, L Schmidt-Thieme
2023 IEEE International Conference on Big Data (BigData), 986-995, 2023
Forecasting Irregularly Sampled Time Series using Graphs
VK Yalavarthi, K Madhusudanan, R Sholz, N Ahmed, J Burchert, S Javed, ...
arXiv preprint arXiv:2305.12932, 2023
Gait verification using deep learning with a pairwise loss
VK Yalavarthi, J Grabocka, H Mandalapu, L Schmidt-Thieme
2019 International Conference of the Biometrics Special Interest Group …, 2019
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
C Klötergens, VK Yalavarthi, M Stubbemann, L Schmidt-Thieme
arXiv preprint arXiv:2405.03582, 2024
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
J Burchert, T Werner, VK Yalavarthi, DC de Portugal, M Stubbemann, ...
arXiv preprint arXiv:2404.06966, 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
VK Yalavarthi, R Scholz, S Born, L Schmidt-Thieme
arXiv preprint arXiv:2402.06293, 2024
Forecasting Early with Meta Learning
S Jawed, K Madhusudhanan, VK Yalavarthi, L Schmidt-Thieme
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
Open Set Recognition in Semantic Segmentation
R Raghuraman, L Schmidt-Thieme, VK Yalavarthi, S Raafatnia
A hybrid machine learning technique for complex non-stationary classification problems
VK Yalavarthi
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