Deep and Confident Prediction for Time Series at Uber

6 September 2017

Papers citing "Deep and Confident Prediction for Time Series at Uber"

39 / 39 papers shown

Title
STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models Liyue Chen Jiangyi Fang Tengfei Liu Fangyuan Gao Leye Wang AI4TS 31 0 0 08 Jan 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation Xiaowei Mao Yan Lin S. Guo Yubin Chen Xingyu Xian Haomin Wen Qisen Xu Youfang Lin Huaiyu Wan 44 1 0 23 Aug 2024
Transaction Fee Estimation in the Bitcoin System Limeng Zhang Rui Zhou Qing Liu Chengfei Liu M. A. Babar 20 0 0 24 May 2024
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly Dan Kalifa Uriel Singer Ido Guy Guy D. Rosin Kira Radinsky AI4TS 37 8 0 22 May 2024
Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T. Karl J. Wisnowski L. Petropoulos AI4TS 12 0 0 04 Jan 2023
FRANS: Automatic Feature Extraction for Time Series Forecasting A. Chernikov Chang Wei Tan Pablo Montero-Manso Christoph Bergmeir AI4TS 14 1 0 15 Sep 2022
AA-Forecast: Anomaly-Aware Forecast for Extreme Events Ashkan Farhangi Jiang Bian Arthur Huang Haoyi Xiong Jun Wang Zhi-guo Guo AI4TS 29 4 0 21 Aug 2022
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation Anshul Nayak A. Eskandarian Zachary R. Doerzaph 26 22 0 04 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen Mengdi Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
TiSAT: Time Series Anomaly Transformer Keval Doshi Shatha Abudalou Yasin Yılmaz AI4TS 29 15 0 10 Mar 2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection Longshaokan Wang Lingda Wang M. Georgieva Paulo Machado Abinaya Ulagappa Safwan Ahmed Yanxia Lu Arjun Bakshi F. Ghassemi TTA 18 1 0 16 Feb 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 24 58 0 03 Nov 2021
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks Valerio Bonometti Mathieu J. Ruiz Anders Drachen Alex R. Wade CML 14 0 0 03 Aug 2021
Quantifying Uncertainty in Deep Spatiotemporal Forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu AI4TS 10 68 0 25 May 2021
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks Hanyang Liu Michael C. Montana Dingwen Li Chase Renfroe Thomas Kannampallil Chenyang Lu 28 2 0 30 Apr 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums Jialin Yu Laila Alrajhi Anoushka Harit Zhongtian Sun Alexandra I. Cristea Lei Shi BDL UQCV 24 8 0 26 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 32 27 0 09 Apr 2021
Accurate and Reliable Forecasting using Stochastic Differential Equations Peng Cui Zhijie Deng Wenbo Hu Jun Zhu UQCV 38 1 0 28 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 31 34 0 25 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 21 12 0 15 Feb 2021
DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting Dongxian Wu Liyao (Mars) Gao X. Xiong Matteo Chinazzi Alessandro Vespignani Yi Ma Rose Yu FedML 22 27 0 12 Feb 2021
Global Models for Time Series Forecasting: A Simulation Study Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 39 57 0 23 Dec 2020
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson G. Klambauer Sepp Hochreiter G. Nearing BDL UQCV 18 106 0 15 Dec 2020
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems Meiyi Ma John A. Stankovic E. Bartocci Lu Feng 26 24 0 31 Oct 2020
Bayesian Methods for Semi-supervised Text Annotation Kristian Miok Gregor Pirš Marko Robnik-Šikonja BDL 34 5 0 28 Oct 2020
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity Vincent Le Guen Nicolas Thome AI4TS 18 26 0 14 Oct 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 23 4 0 08 Oct 2020
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Ziyi Wang Yufei Ding AAML 11 34 0 22 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 26 2 0 03 Sep 2020
Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms Kudakwashe Dandajena I. Venter Mehrdad Ghaziasgar Reg Dodds AI4TS 21 2 0 22 Jul 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
Self-Supervised Log Parsing S. Nedelkoski Jasmin Bogatinovski Alexander Acker Jorge Cardoso O. Kao 6 72 0 17 Mar 2020
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Kashif Rasul Abdul-Saboor Sheikh Ingmar Schuster Urs M. Bergmann Roland Vollgraf BDL AI4TS AI4CE 24 179 0 14 Feb 2020
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method Vishwanath A. Sindagi R. Yasarla Vishal M. Patel 21 87 0 28 Oct 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra L. Vig Gautam M. Shroff UQCV 29 15 0 23 Mar 2019
Short-term Load Forecasting with Deep Residual Networks Kunjin Chen Kunlong Chen Qin Wang Ziyu He Jun Hu Jinliang He 31 463 0 30 May 2018
Foundations of Sequence-to-Sequence Modeling for Time Series Vitaly Kuznetsov Zelda E. Mariet AI4TS BDL 23 56 0 09 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015