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MQTransformer: Multi-Horizon Forecasts with Context Dependent and
  Feedback-Aware Attention
v1v2v3v4 (latest)

MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention

30 September 2020
Carson Eisenach
Yagna Patel
Dhruv Madeka
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention"

24 / 24 papers shown
Forking-Sequences
Forking-Sequences
Willa Potosnak
Malcolm Wolff
Boris N. Oreshkin
Mengfei Cao
Michael W. Mahoney
Dmitry Efimov
Kin G. Olivares
Boris Oreshkin
Kin G. Olivares
AI4TS
310
0
0
06 Oct 2025
SPADE-S: A Sparsity-Robust Foundational Forecaster
SPADE-S: A Sparsity-Robust Foundational Forecaster
Malcolm Wolff
Matthew Li
Ravi Kiran Selvam
Hanjing Zhu
Kin G. Olivares
...
Roberto Bandarra
Rahul Gopalsamy
Stefania La Vattiata
Sitan Yang
Michael M. Mahoney
AI4TS
249
0
0
24 Jul 2025
End-to-End Probabilistic Framework for Learning with Hard Constraints
End-to-End Probabilistic Framework for Learning with Hard Constraints
Utkarsh Utkarsh
Danielle C. Maddix
Ruijun Ma
Michael W. Mahoney
Yuyang Wang
AI4TSBDL
399
5
0
08 Jun 2025
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin DataWorking papers (WP), 2025
Filip Stefaniuk
Robert Ślepaczuk
AIFin
499
3
0
23 Mar 2025
Using Pre-trained LLMs for Multivariate Time Series Forecasting
Using Pre-trained LLMs for Multivariate Time Series Forecasting
Malcolm Wolff
Shenghao Yang
Kari Torkkola
Michael W. Mahoney
AI4TSAIFin
292
6
0
10 Jan 2025
Neural Coordination and Capacity Control for Inventory Management
Neural Coordination and Capacity Control for Inventory Management
Carson Eisenach
Udaya Ghai
Dhruv Madeka
Kari Torkkola
Dean Phillips Foster
Sham Kakade
247
3
0
24 Sep 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting
  with Proxy Data
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
Zexing Xu
Linjun Zhang
Sitan Yang
Rasoul Etesami
Hanghang Tong
Huan Zhang
Jiawei Han
AI4TS
219
6
0
23 Jun 2024
Causal Forecasting for Pricing
Causal Forecasting for Pricing
Douglas Schultz
Johannes Stephan
Julian Sieber
Trudie Yeh
Manuel Kunz
Patrick Doupe
Tim Januschowski
425
3
0
23 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers
GIVT: Generative Infinite-Vocabulary TransformersEuropean Conference on Computer Vision (ECCV), 2023
Michael Tschannen
Cian Eastwood
Fabian Mentzer
462
71
0
04 Dec 2023
Learning an Inventory Control Policy with General Inventory Arrival
  Dynamics
Learning an Inventory Control Policy with General Inventory Arrival Dynamics
Sohrab Andaz
Carson Eisenach
Dhruv Madeka
Kari Torkkola
Randy Jia
Dean Phillips Foster
Sham Kakade
367
4
0
26 Oct 2023
TimeGPT-1
TimeGPT-1
Azul Garza
Cristian Challu
Max Mergenthaler-Canseco
AI4TS
375
214
0
05 Oct 2023
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series
  Forecasting
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting
Sitan Yang
Malcolm Wolff
S. Ramasubramanian
Vincent Quenneville-Belair
Ronak Metha
Michael W. Mahoney
AI4TSAI4CE
229
1
0
07 Jul 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
357
22
0
23 May 2023
Deep Inventory Management
Deep Inventory Management
Dhruv Madeka
Kari Torkkola
Carson Eisenach
Anna Luo
Dean Phillips Foster
Sham M. Kakade
BDL
419
23
0
06 Oct 2022
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval
  Augmentation
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation
Sitan Yang
Carson Eisenach
Dhruv Madeka
AI4TS
169
11
0
21 Jul 2022
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid
  COVID-19
A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19Hawaii International Conference on System Sciences (HICSS), 2022
Ashkan Farhangi
Arthur Huang
Zhishan Guo
157
3
0
08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
315
34
0
07 Mar 2022
Multivariate Quantile Function Forecaster
Multivariate Quantile Function ForecasterInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Kelvin K. Kan
Franccois-Xavier Aubet
Tim Januschowski
Youngsuk Park
Konstantinos Benidis
Lars Ruthotto
Jan Gasthaus
AI4TS
371
30
0
23 Feb 2022
Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series ForecastingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
UQCVAI4TS
314
53
0
12 Nov 2021
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Probabilistic Hierarchical Forecasting with Deep Poisson MixturesInternational Journal of Forecasting (IJF), 2021
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
AI4TS
455
25
0
25 Oct 2021
Dynamic Customer Embeddings for Financial Service Applications
Dynamic Customer Embeddings for Financial Service Applications
Nima Chitsazan
Samuel Sharpe
Dwipam Katariya
Qi-Jun Cheng
Karthik Rajasethupathy
192
3
0
22 Jun 2021
Controlling Neural Networks with Rule Representations
Controlling Neural Networks with Rule RepresentationsNeural Information Processing Systems (NeurIPS), 2021
Sungyong Seo
Sercan O. Arik
Chang Jo Kim
Xiang Zhang
Kihyuk Sohn
Tomas Pfister
OODAI4CE
320
39
0
14 Jun 2021
Probability Paths and the Structure of Predictions over Time
Probability Paths and the Structure of Predictions over TimeNeural Information Processing Systems (NeurIPS), 2021
Zhiyuan Jerry Lin
Hao Sheng
Sharad Goel
214
2
0
11 Jun 2021
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
517
325
0
21 Apr 2020
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