Oleksandr Shchur
9 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15)
🧭
Keyword Pioneer
🌉
Interdisciplinary Bridge
🌱
Topic Pioneer
Conferences
NIPS (3)
AUTOML (2)
AISTATS (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
temporal point process
(4)
continuous-time event
(2)
event sequence
(2)
ensemble learning
(1)
density estimation
(1)
graph generation
(1)
deep learning
(1)
random walk
(1)
time series forecasting
(1)
probabilistic generative model
(1)
stochastic process
(1)
generative model
(1)
probabilistic model
(1)
diffusion model
(1)
recurrent neural network
(1)
normalizing flow
(1)
out-of-distribution detection
(1)
denoising diffusion
(1)
probabilistic forecasting
(1)
parallel sampling
(1)
Papers
Multi-layer Stack Ensembles for Time Series Forecasting
AUTOML 2025
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
AISTATS 2025
Add and Thin: Diffusion for Temporal Point Processes
NIPS 2023
AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting
AUTOML 2023
Neural Temporal Point Processes: A Review
IJCAI 2021
Detecting Anomalous Event Sequences with Temporal Point Processes
NIPS 2021
Intensity-Free Learning of Temporal Point Processes
ICLR 2020
Fast and Flexible Temporal Point Processes with Triangular Maps
NIPS 2020
NetGAN: Generating Graphs via Random Walks
ICML 2018