Vijaya Krishna Yalavarthi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Weather Forecasting

Entity Resolution

Top Venues

Proc. VLDB Endow.

Publications

Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training. CoRR (2024)
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI (2024)
Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting. CoRR (2024)
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme
Probabilistic Forecasting of Irregular Time Series via Conditional Flows. CoRR (2024)
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting. CoRR (2024)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. CoRR (2023)
Vijaya Krishna Yalavarthi, Kiran Madusudanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
Forecasting Irregularly Sampled Time Series using Graphs. CoRR (2023)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. IJCNN (2023)
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series. BigData (2023)
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. CoRR (2022)
Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Open Set Recognition for Time Series Classification. PAKDD (2) (2022)
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. DSAA (2022)
Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme
Tripletformer for Probabilistic Interpolation of Asynchronous Time Series. CoRR (2022)
Vijaya Krishna Yalavarthi, Josif Grabocka, Hareesh Mandalapu, Lars Schmidt-Thieme
Gait Verification using Deep Learning with a Pairwise Loss. BIOSIG (2019)
Xiangyu Ke, Michelle Teo, Arijit Khan, Vijaya Krishna Yalavarthi
A Demonstration of PERC: Probabilistic Entity Resolution With Crowd Errors. Proc. VLDB Endow. 11 (12) (2018)
Vijaya Krishna Yalavarthi, Arijit Khan
Steering Top-k Influencers in Dynamic Graphs via Local Updates. IEEE BigData (2018)
Vijaya Krishna Yalavarthi, Arijit Khan
Fast Influence Maximization in Dynamic Graphs: A Local Updating Approach. CoRR (2018)
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
Probabilistic Entity Resolution with Imperfect Crowd. CoRR (2017)
Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan
Select Your Questions Wisely: For Entity Resolution With Crowd Errors. CIKM (2017)
Meng Joo Er, Vijaya Krishna Yalavarthi, Ning Wang, Rajasekar Venkatesan
A Novel Incremental Class Learning Technique for Multi-class Classification. ISNN (2016)