Oleksandr Shchur
9 papers · 2018–2025 · 6 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 · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(25)
📈
Trend Setter
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Core Methods
(5)
Models
(5)
Data Science & Analytics
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Types · Machine Learning
(3)
Methods
(3)
Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Keywords
temporal point process
(5)
time series forecasting
(3)
event sequence
(2)
generative model
(2)
normalizing flow
(2)
continuous-time event
(2)
deep learning
(1)
graph generation
(1)
anomaly detection
(1)
stochastic process
(1)
probabilistic generative model
(1)
probabilistic model
(1)
diffusion model
(1)
mixture model
(1)
density estimation
(1)
pre-trained model
(1)
ensemble model
(1)
recurrent neural network
(1)
out-of-distribution detection
(1)
random walk
(1)
Papers
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Multi-layer Stack Ensembles for Time Series Forecasting
AutoML 2025
Add and Thin: Diffusion for Temporal Point Processes
NeurIPS 2023
AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting
AutoML 2023
Detecting Anomalous Event Sequences with Temporal Point Processes
NeurIPS 2021
Neural Temporal Point Processes: A Review
IJCAI 2021
Fast and Flexible Temporal Point Processes with Triangular Maps
NeurIPS 2020
Intensity-Free Learning of Temporal Point Processes
ICLR 2020
NetGAN: Generating Graphs via Random Walks
ICML 2018