Vijaya Krishna Yalavarthi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
8
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PAKDD | Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased Is Time Series Forecasting? | Ibram Abdelmalak, Kiran Madhusudhanan, Jungmin Choi, Christian Kltergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme |
| 2026 | PAKDD | HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting. | Jung Min Choi, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2026 | PAKDD | Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting. | Christian Kltergens, Tim Dernedde, Lars Schmidt-Thieme, Vijaya Krishna Yalavarthi |
| 2025 | AAAI | Motif-aware Graph Neural Networks for Networked Time Series Imputation. | Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2025 | AAAI | Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows. | Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born, Lars Schmidt-Thieme |
| 2025 | ECAI | TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression. | Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Jonas Sonntag, Maximilian Stubbemann, Lars Schmidt-Thieme |
| 2025 | ICLR | Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs. | Christian Kltergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme |
| 2024 | AAAI | GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. | Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme |
| 2023 | IJCNN | Forecasting Early with Meta Learning. | Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2022 | DSAA | DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. | Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme |
| 2022 | PAKDD | Open Set Recognition for Time Series Classification. | Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |
| 2017 | CIKM | Select Your Questions Wisely: For Entity Resolution With Crowd Errors. | Vijaya Krishna Yalavarthi, Xiangyu Ke, Arijit Khan |
| 2016 | ISNN | A Novel Incremental Class Learning Technique for Multi-class Classification. | Meng Joo Er, Vijaya Krishna Yalavarthi, Ning Wang, Rajasekar Venkatesan |