Vijaya Krishna Yalavarthi

4 papers · 2024–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AAAI (3) ICLR (1)

Top co-authors

Lars Schmidt-Thieme (4) Randolf Scholz (3) Stefan Born (3) Nourhan Ahmed (2) Johannes Burchert (1) Maximilian Stubbemann (1) Christian Klötergens (1) Shayan Jawed (1) Kiran Madhusudhanan (1)

Research topics

Deep Learning (4) Machine Learning (4) Data Science & Analytics (3) Learning Types (3) Methods (3) Architectures (2) Bayesian & Probabilistic (2) Core Methods (2) Models (2) Computer Science (1) Foundations (1)

Keywords

missing value (3) time series forecasting (3) irregularly sampled time series (2) graph neural network (2) benchmark dataset (1) probabilistic forecasting (1) time series imputation (1) ordinary differential equation (1) spatial-temporal modeling (1) irregular time series (1) irregular sampling (1) rejection sampling (1) gated recurrent unit (1) gated recurrent network (1) sparsity structure graph (1) edge weight prediction (1) motif detection (1) networked time series (1) conditional normalizing flow (1) motif-aware learning (1)

Papers

Motif-aware Graph Neural Networks for Networked Time Series Imputation AAAI 2025 Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs ICLR 2025 Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series AAAI 2024