Set Functions for Time Series

26 September 2019

Max Horn

Michael Moor

Christian Bock

Bastian Alexander Rieck

Karsten M. Borgwardt

AI4TS

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Papers citing "Set Functions for Time Series"

37 / 87 papers shown

Title
SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring Amin Shoari Nejad Rocío Alaiz-Rodríguez G. McCarthy Brian Kelleher A. Grey Andrew C. Parnell 11 1 0 05 Jun 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers Jing Xiao Leonie Basso Wolfgang Nejdl Niloy Ganguly Sandipan Sikdar AI4TS 19 3 0 11 May 2023
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention Kwanhyung Lee Soojeong Lee Sangchul Hahn Heejung Hyun E. Choi Byungeun Ahn Joohyung Lee 49 15 0 04 May 2023
Revisiting the Encoding of Satellite Image Time Series Xin Cai Y. Bi Peter Nicholl Roy Sterritt AI4TS 33 3 0 03 May 2023
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting Lars Odegaard Bentsen N. Warakagoda R. Stenbro P. Engelstad AI4TS 13 1 0 23 Mar 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li Shiyang Li Xifeng Yan AI4TS 16 46 0 01 Mar 2023
Temporal Weights Adam A. Kohan E. Rietman H. Siegelmann 9 0 0 13 Dec 2022
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data Severin Husmann Hugo Yèche Gunnar Rätsch Rita Kuznetsova HAI 14 10 0 06 Dec 2022
RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education Mohammad Asadi Vinitra Swamy Jibril Frej J. Vignoud Mirko Marras Tanja Kaser 14 8 0 02 Dec 2022
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling Xinlu Zhang Shiyang Li Zhiyu Zoey Chen Xifeng Yan Linda R. Petzold AI4TS 46 25 0 18 Oct 2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme AI4TS 19 5 0 05 Oct 2022
Temporal Label Smoothing for Early Event Prediction Hugo Yèche Alizée Pace Gunnar Rätsch Rita Kuznetsova 21 4 0 29 Aug 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 20 4 0 24 Aug 2022
Stop&Hop: Early Classification of Irregular Time Series Thomas Hartvigsen Walter Gerych Jidapa Thadajarassiri Xiangnan Kong Elke A. Rundensteiner AI4TS 24 13 0 21 Aug 2022
Benchmark time series data sets for PyTorch -- the torchtime package Philip Darke P. Missier J. Bacardit MLAU AI4TS 11 2 0 25 Jul 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 23 271 0 17 Jun 2022
Learning Neural Set Functions Under the Optimal Subset Oracle Zijing Ou Tingyang Xu Qinliang Su Yingzhen Li P. Zhao Yatao Bian BDL 11 9 0 03 Mar 2022
SAITS: Self-Attention-based Imputation for Time Series Wenjie Du David Cote Y. Liu AI4TS 11 228 0 17 Feb 2022
Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer Mazin Eltayeb Stefan Lessmann Maja R. Rudolph BDL AI4TS 12 82 0 22 Nov 2021
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data Hugo Yèche Rita Kuznetsova M. Zimmermann Matthias Huser Xinrui Lyu M. Faltys Gunnar Rätsch 29 40 0 16 Nov 2021
Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang M. Zeman Theodoros Tsiligkaridis Marinka Zitnik MLAU AI4TS 32 106 0 11 Oct 2021
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series Futoon M. Abushaqra Hao Xue Yongli Ren Flora D. Salim AI4TS 22 3 0 30 Sep 2021
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series Sindhu Tipirneni Chandan K. Reddy AI4TS 10 104 0 29 Jul 2021
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin BDL AI4TS 15 0 0 23 Jul 2021
As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning Fiorella Wever Thomas Anderson Keller L. Symul Victor Garcia SSL AI4TS 20 1 0 29 Jun 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 18 82 0 25 Jun 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring Hugo Yèche Gideon Dresdner Francesco Locatello Matthias Huser Gunnar Rätsch 16 46 0 09 Jun 2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds Erich Merrill Stefan Lee Li Fuxin Thomas G. Dietterich Alan Fern 3DPC 26 1 0 01 May 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 11 35 0 05 Feb 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 106 183 0 25 Jan 2021
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series Yurim Lee E. Jun Heung-Il Suk AI4TS 11 0 0 25 Jan 2021
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 6 43 0 30 Nov 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 18 13 0 21 Oct 2020
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data David R. Bellamy L. A. Celi Andrew L. Beam LM&MA OOD 13 23 0 02 Oct 2020
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Csaba Tóth Patric Bonnier Harald Oberhauser AI4TS 11 12 0 12 Jun 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,892 0 06 Jun 2016