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Multivariate Quantile Function Forecaster
v1v2 (latest)

Multivariate Quantile Function Forecaster

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
23 February 2022
Kelvin K. Kan
Franccois-Xavier Aubet
Tim Januschowski
Youngsuk Park
Konstantinos Benidis
Lars Ruthotto
Jan Gasthaus
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Multivariate Quantile Function Forecaster"

16 / 16 papers shown
DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction
DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction
Dongze Wu
Feng Qiu
Yao Xie
AI4TSOODBDLAI4CE
378
0
0
04 Nov 2025
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency
Kelvin Kan
Xingjian Li
Benjamin J. Zhang
Tuhin Sahai
Stanley Osher
Markos A. Katsoulakis
237
0
0
16 May 2025
Multivariate Conformal Prediction using Optimal Transport
Multivariate Conformal Prediction using Optimal Transport
Stephen Zhang
Louis Béthune
Eugène Ndiaye
Marco Cuturi
OT
425
13
0
05 Feb 2025
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle
  Charging Demand
Coherent Hierarchical Probabilistic Forecasting of Electric Vehicle Charging DemandIEEE transactions on industry applications (IEEE Trans. Ind. Appl.), 2024
Kedi Zheng
Hanwei Xu
Zeyang Long
Yijiao Wang
Qixin Chen
AI4TS
349
6
0
01 Nov 2024
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced
  Driver Assistance System
GDFlow: Anomaly Detection with NCDE-based Normalizing Flow for Advanced Driver Assistance System
Kangjun Lee
Minha Kim
Youngho Jun
Simon S. Woo
191
2
0
09 Sep 2024
Can Transformers Predict Vibrations?
Can Transformers Predict Vibrations?
Fusataka Kuniyoshi
Yoshihide Sawada
131
1
0
16 Feb 2024
Deep Generative Methods for Producing Forecast Trajectories in Power
  Systems
Deep Generative Methods for Producing Forecast Trajectories in Power Systems
Nathan Weill
Jonathan Dumas
AI4TS
135
0
0
26 Sep 2023
Deep Learning based Forecasting: a case study from the online fashion
  industry
Deep Learning based Forecasting: a case study from the online fashion industry
Manuel Kunz
Stefan Birr
Mones Raslan
Lei Ma
Zhuguo Li
...
Armin Kekić
Michael Narodovitch
Kashif Rasul
Julian Sieber
Tim Januschowski
271
20
0
23 May 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical
  Information
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Benedikt Heidrich
Kaleb Phipps
Oliver Neumann
Marian Turowski
Ralf Mikut
V. Hagenmeyer
AI4TSBDL
166
2
0
06 Feb 2023
Copula Conformal Prediction for Multi-step Time Series Forecasting
Copula Conformal Prediction for Multi-step Time Series Forecasting
S. Sun
Rose Yu
AI4TS
432
26
0
06 Dec 2022
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Henry Lam
Kaizheng Wang
Yuhang Wu
Yichen Zhang
204
4
0
22 Oct 2022
Multi-Target XGBoostLSS Regression
Multi-Target XGBoostLSS Regression
Alexander März
130
7
0
13 Oct 2022
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and
  Defense Mechanisms
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense MechanismsInternational Conference on Learning Representations (ICLR), 2022
Linbo Liu
Youngsuk Park
T. Hoang
Hilaf Hasson
Jun Huan
AAML
273
10
0
19 Jul 2022
Domain Adaptation for Time Series Forecasting via Attention Sharing
Domain Adaptation for Time Series Forecasting via Attention SharingInternational Conference on Machine Learning (ICML), 2021
Xiaoyong Jin
Youngsuk Park
Danielle C. Maddix
Bernie Wang
Xifeng Yan
TTAOODAI4TS
679
106
0
13 Feb 2021
Conditional Sampling with Monotone GANs: from Generative Models to
  Likelihood-Free Inference
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OTGAN
276
32
0
11 Jun 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
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
431
287
0
21 Apr 2020
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