PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data | Paper Citation Record

Observation f53d8e09-9fd7-44c2-a30e-aaa921d157ff · outbound

This paper cites Missing Value Imputation on Multidimensional Time Series.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Missing Value Imputation on Multidimensional Time Series

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.563164Z

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Observation 3328a1cb-3448-42dd-b3e6-045ad4526d2e · outbound

This paper cites Brits: Bidirectional recurrent imputation for time series.Advances in neural information processing systems, 31, 2018.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Brits: Bidirectional recurrent imputation for time series.Advances in neural information processing systems, 31, 2018

Reference 2

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Observation bffc995c-0ef8-46b0-b230-1bffd8eb3dc2 · outbound

This paper cites Provably convergent schrödinger bridge with applications to probabilistic time series imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Provably convergent schrödinger bridge with applications to probabilistic time series imputation

Reference 3

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Observation 5697ee18-478d-4e40-bbd9-0e6baa7f7eb1 · outbound

This paper cites Missing data in clinical studies.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Missing data in clinical studies

Reference 4

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Observation efa6eb06-192d-4984-8752-3c8cad0f7d59 · outbound

This paper cites The prevention and treatment of missing data in clinical trials.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data The prevention and treatment of missing data in clinical trials

Reference 5

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Observation a5f98081-fd27-4f2b-bde4-d827d08631e9 · outbound

This paper cites Unbiased missing-modality multimodal learning.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Unbiased missing-modality multimodal learning

Reference 6

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Observation 01de9602-bae4-4bad-8208-494d59b3bac3 · outbound

This paper cites The relationship between precision-recall and roc curves.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data The relationship between precision-recall and roc curves

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 7649bd6c-a1dc-4af4-8a0a-9c7288632465 · outbound

This paper cites Saits: Self-attention-based imputation for time series.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Saits: Self-attention-based imputation for time series

Reference 8

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Observation 7eee4e19-196a-441c-8502-2467db3f1f46 · outbound

This paper cites LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.560460Z

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Observation 153a1091-d1f9-4593-bab7-3ddda3fad7cd · outbound

This paper cites Gp-vae: Deep probabilistic time series imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Gp-vae: Deep probabilistic time series imputation

Reference 10

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Observation b3ce3569-3799-4903-b281-a3864634bb2e · outbound

This paper cites Fusemoe: Mixture-of-experts transformers for fleximodal fusion.Advances in Neural Information Processing Systems, 37: 67850–67900, 2024.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Fusemoe: Mixture-of-experts transformers for fleximodal fusion.Advances in Neural Information Processing Systems, 37: 67850–67900, 2024

Reference 11

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Observation 3c33e489-5e86-4b9d-9c36-43493adde6db · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 12

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Observation 8b3fec53-1ad9-4b7a-be44-a60ef5dd566c · outbound

This paper cites A review on time series aggregation methods for energy system models.Energies, 13(3):641, 2020.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data A review on time series aggregation methods for energy system models.Energies, 13(3):641, 2020

Reference 13

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Observation a6619b4a-d23a-4cfc-9d01-ccac93c87896 · outbound

This paper cites arXiv preprint arXiv:2504.19596 , year=.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data arXiv preprint arXiv:2504.19596 , year=

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.543444Z

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Observation 97153e7a-bf9b-414d-8621-d64064cbb93c · outbound

This paper cites Mimic-iv.PhysioNet.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Mimic-iv.PhysioNet

Reference 15

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Observation 6fba8885-f4c2-439d-a90f-6a44fc58ded4 · outbound

This paper cites The sleep-edf database.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data The sleep-edf database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 21cbb45f-fe58-40d1-9cfd-cdd19860ddab · outbound

This paper cites Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.568680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3355448d-6996-4475-8a75-dee51e43409c · outbound

This paper cites MIRA: Medical time series foundation model for real-world health data.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data MIRA: Medical time series foundation model for real-world health data

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.549325Z

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Observation bda61694-ac85-4cc6-8115-9b2a008ef3fd · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Foundation models for time series analysis: A tutorial and survey

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation df526d4c-4d0e-444b-b698-667d8bef8d5e · outbound

This paper cites Flow Matching for Generative Modeling.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Flow Matching for Generative Modeling

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:16:57.537308Z

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Observation 5d8a4802-67bd-4d2e-a829-601c9448489e · outbound

This paper cites John Wiley & Sons, 2019.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data John Wiley & Sons, 2019

Reference 21

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Observation e5c3a79a-0153-4616-bbcb-98cc8b8d4e3b · outbound

This paper cites arXiv preprint arXiv:2503.11835 , year=.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data arXiv preprint arXiv:2503.11835 , year=

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.546482Z

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Observation ca7ea627-77e4-4e16-868c-85cbbb1f0d71 · outbound

This paper cites Pristi: A conditional diffusion framework for spatiotemporal imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Pristi: A conditional diffusion framework for spatiotemporal imputation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation e6979001-22f3-4ce2-b7b5-21ae6caccdef · outbound

This paper cites Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.557626Z

Source-reported events for the cited work

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Observation ab9c9f39-367b-4ee3-9bc8-0bc98a50df30 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:16:57.540313Z

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Observation 946e5559-dd34-4f5b-8bef-5c67f009ff79 · outbound

This paper cites Diffusion-based time series imputation and forecasting with structured atate apace models.Transactions on machine learning research, pages 1–36, 2023.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Diffusion-based time series imputation and forecasting with structured atate apace models.Transactions on machine learning research, pages 1–36, 2023

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 8ba6e828-acae-42bd-b68e-85ad452c322a · outbound

This paper cites Multivariate time series imputation with generative adversarial networks.Advances in neural information processing systems, 31, 2018.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multivariate time series imputation with generative adversarial networks.Advances in neural information processing systems, 31, 2018

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 57f60324-414a-4ede-ba19-d7bd8a77c90a · outbound

This paper cites MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.565815Z

Source-reported events for the cited work

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Observation 3cc5df22-3797-4494-b6bf-5c7ee741e86c · outbound

This paper cites John Wiley & Sons, 2007.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data John Wiley & Sons, 2007

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 02536b87-37fc-498d-851f-4bf975d32ed6 · outbound

This paper cites Conditional Lagrangian Wasserstein Flow for Time Series Imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Conditional Lagrangian Wasserstein Flow for Time Series Imputation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.552394Z

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Observation 7da01885-d627-470d-8fea-286842d3836d · outbound

This paper cites Integrating multimodal information in large pretrained transformers.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Integrating multimodal information in large pretrained transformers

Reference 31

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Observation 938f1757-6123-457a-854b-39ca8a3d6b4e · outbound

This paper cites Deep ppg: Large-scale heart rate estimation with convolutional neural networks.Sensors, 19(14):3079, 2019.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Deep ppg: Large-scale heart rate estimation with convolutional neural networks.Sensors, 19(14):3079, 2019

Reference 32

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Observation 5a96e308-3dcc-4d5e-81ed-b624a096f6e8 · outbound

This paper cites Robust multimodal learning with missing modalities via parameter-efficient adaptation.IEEE transactions on pattern analysis and machine intelligence, 47(2):742–754, 2024.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Robust multimodal learning with missing modalities via parameter-efficient adaptation.IEEE transactions on pattern analysis and machine intelligence, 47(2):742–754, 2024

Reference 33

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Observation 5dcca537-b3e5-4e6d-9daf-0e496a26bcee · outbound

This paper cites The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets.PloS one, 10(3):e0118432, 2015.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets.PloS one, 10(3):e0118432, 2015

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation de4447d1-d416-4dd1-aeb6-511cdd7ef296 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:16:57.571488Z

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Observation 15c93a3a-9efb-485a-a633-f68dacdab15b · outbound

This paper cites Multi-Time Attention Networks for Irregularly Sampled Time Series.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multi-Time Attention Networks for Irregularly Sampled Time Series

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.577157Z

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Observation 8ddc1f75-80ab-4bb3-b672-1bf34a8c389d · outbound

This paper cites CFMI: Flow Matching for Missing Data Imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data CFMI: Flow Matching for Missing Data Imputation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.574285Z

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Observation c1a17c42-0f9a-4125-a914-7b097453e609 · outbound

This paper cites Integrated multimodal artificial intelligence framework for healthcare applications.NPJ digital medicine, 5(1):149, 2022.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Integrated multimodal artificial intelligence framework for healthcare applications.NPJ digital medicine, 5(1):149, 2022

Reference 38

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Observation 7e92d088-199c-4136-aa2c-02c2828e0c7e · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.Advances in neural information processing systems, 34:24804–24816, 2021.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Csdi: Conditional score-based diffusion models for probabilistic time series imputation.Advances in neural information processing systems, 34:24804–24816, 2021

Reference 39

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Observation 5d28b736-4d9d-4d7e-8432-ed3319a88821 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.Transactions on Machine Learning Research, 2024.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Improving and generalizing flow-based generative models with minibatch optimal transport.Transactions on Machine Learning Research, 2024

Reference 40

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Observation f039b83d-af06-4f18-9a20-fa1ead09c626 · outbound

This paper cites Multimodal transformer for unaligned multimodal language sequences.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multimodal transformer for unaligned multimodal language sequences

Reference 41

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Observation 20c62f1a-75de-443c-a1e1-d3adbf4688a1 · outbound

This paper cites Ptb-xl, a large publicly available electrocardiography dataset.Scientific data, 7(1):154, 2020.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Ptb-xl, a large publicly available electrocardiography dataset.Scientific data, 7(1):154, 2020

Reference 42

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Observation d7382358-9613-43fd-a481-b85f9f45f0fb · outbound

This paper cites Optimal transport for time series imputation.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Optimal transport for time series imputation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation b23df950-7ee8-446a-8002-6720929674c4 · outbound

This paper cites Multi- modal learning with missing modality via shared-specific feature modelling.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multi- modal learning with missing modality via shared-specific feature modelling

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation a3f8d7dc-c4ff-4feb-8c14-bc7b1609fab9 · outbound

This paper cites Deep learning for multivariate time series imputation: a survey.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Deep learning for multivariate time series imputation: a survey

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 8671048b-6c8a-4aaa-9091-beea4edaebd0 · outbound

This paper cites Deep Multimodal Learning with Missing Modality: A Survey.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Deep Multimodal Learning with Missing Modality: A Survey

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:16:57.554952Z

Source-reported events for the cited work

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Observation 4694a777-0d74-47be-a22f-d8aecb354be4 · outbound

This paper cites Multimodal patient representation learning with missing modalities and labels.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Multimodal patient representation learning with missing modalities and labels

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation e35b34e4-dffa-4f50-97dc-2b8c3f2eb6ae · outbound

This paper cites Frequency-aware generative models for multivariate time series imputation.Advances in Neural Information Processing Systems, 37: 52595–52623, 2024.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Frequency-aware generative models for multivariate time series imputation.Advances in Neural Information Processing Systems, 37: 52595–52623, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation eb416460-6f27-4cd0-a803-25a7b34c63e2 · outbound

This paper cites Estimating missing data in temporal data streams using multi-directional recurrent neural networks.IEEE Transactions on Biomedical Engineering, 66(5):1477–1490, 2018.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Estimating missing data in temporal data streams using multi-directional recurrent neural networks.IEEE Transactions on Biomedical Engineering, 66(5):1477–1490, 2018

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation 089b20f4-fe6a-4ee1-8dbf-b1ee8961d21f · outbound

This paper cites Missing data imputation by reducing mutual information with rectified flows.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Missing data imputation by reducing mutual information with rectified flows

Reference 50

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Observation ed019d50-2223-4875-a7b7-23519c79e5bc · outbound

This paper cites Flex-moe: Modeling arbitrary modality combination via the flexible mixture-of-experts.Advances in Neural Information Processing Systems, 37: 98782–98805, 2024.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Flex-moe: Modeling arbitrary modality combination via the flexible mixture-of-experts.Advances in Neural Information Processing Systems, 37: 98782–98805, 2024

Reference 51

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Observation bcbf1268-89b9-4fb5-b564-7236ea502154 · outbound

This paper cites Tensor fusion network for multimodal sentiment analysis.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Tensor fusion network for multimodal sentiment analysis

Reference 52

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Observation 86b29640-3de7-46dc-aade-f1fa3da59aef · outbound

This paper cites Improving medical predictions by irregular multimodal electronic health records modeling.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Improving medical predictions by irregular multimodal electronic health records modeling

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T02:13:34.358132Z

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Observation de676d51-8c14-4c57-b1a8-39b523804c0a · outbound

This paper cites A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

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This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 55

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This paper cites tolerate missingness.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data tolerate missingness

Reference 56

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