Seuraa
Caner Türkmen
Caner Türkmen
Amazon Research
Vahvistettu sähköpostiosoite verkkotunnuksessa amazon.com
Nimike
Viittaukset
Viittaukset
Vuosi
Gluonts: Probabilistic and neural time series modeling in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
Journal of Machine Learning Research 21 (116), 1-6, 2020
301*2020
Neural forecasting: Introduction and literature overview
K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ...
arXiv preprint arXiv:2004.10240 6, 2020
218*2020
Neural temporal point processes: A review
O Shchur, AC Türkmen, T Januschowski, S Günnemann
arXiv preprint arXiv:2104.03528, 2021
722021
Forecasting intermittent and sparse time series: A unified probabilistic framework via deep renewal processes
AC Türkmen, T Januschowski, Y Wang, AT Cemgil
Plos one 16 (11), e0259764, 2021
37*2021
A review of nonnegative matrix factorization methods for clustering
AC Türkmen
arXiv preprint arXiv:1507.03194, 2015
372015
Fastpoint: Scalable deep point processes
AC Türkmen, Y Wang, AJ Smola
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
262020
Deep explicit duration switching models for time series
AF Ansari, K Benidis, R Kurle, AC Turkmen, H Soh, AJ Smola, B Wang, ...
Advances in Neural Information Processing Systems 34, 29949-29961, 2021
222021
Detecting anomalous event sequences with temporal point processes
O Shchur, AC Turkmen, T Januschowski, J Gasthaus, S Günnemann
Advances in Neural Information Processing Systems 34, 13419-13431, 2021
92021
AutoGluon–TimeSeries: AutoML for probabilistic time series forecasting
O Shchur, AC Turkmen, N Erickson, H Shen, A Shirkov, T Hu, B Wang
International Conference on Automated Machine Learning, 9/1-21, 2023
52023
Dirichlet–Luce choice model for learning from interactions
G Çapan, İ Gündoğdu, AC Türkmen, AT Cemgil
User Modeling and User-Adapted Interaction 32 (4), 611-648, 2022
5*2022
Clustering event streams with low rank Hawkes processes
AC Türkmen, G Çapan, AT Cemgil
IEEE Signal Processing Letters 27, 1575-1579, 2020
52020
Chronos: Learning the Language of Time Series
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
arXiv preprint arXiv:2403.07815, 2024
12024
Testing granger non-causality in panels with cross-sectional dependencies
L Minorics, C Turkmen, D Kernert, P Bloebaum, L Callot, D Janzing
International Conference on Artificial Intelligence and Statistics, 10534-10554, 2022
12022
Testing for Self-excitation in Financial Events: A Bayesian Approach
AC Türkmen, AT Cemgil
ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland …, 2019
12019
Text classification with coupled matrix factorization
AC Türkmen, AT Cemgil
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
12016
Chronos: Learning the Language of Time Series
A Fatir Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, ...
arXiv e-prints, arXiv: 2403.07815, 2024
2024
Quantifying Causal Contribution in Rare Event Data
AC Turkmen, D Janzing, O Shchur, L Minorics, L Callot
A causal view on dynamical systems, NeurIPS 2022 workshop, 2022
2022
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