IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction | Paper Citation Record

Observation 3e25fa2f-7b21-41df-9b82-fdfc60eeb297 · outbound

This paper cites Short-term residential load forecasting based on LSTM recurrent neural network,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Short-term residential load forecasting based on LSTM recurrent neural network,

Reference 1

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Observation b13ac76c-aa87-4ac1-a044-cecfb0b4dc52 · outbound

This paper cites Accurate medium-range global weather forecasting with 3D neural networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Accurate medium-range global weather forecasting with 3D neural networks,

Reference 2

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This paper cites Time-series forecasting with deep learning: A survey,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Time-series forecasting with deep learning: A survey,

Reference 3

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This paper cites Summary and reflections on pedestrian trajectory prediction in the field of autonomous driving,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Summary and reflections on pedestrian trajectory prediction in the field of autonomous driving,

Reference 4

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Observation 9adb83ad-affb-4fab-9f71-e08397e9d2c7 · outbound

This paper cites MPM: Multi patterns memory model for short-term time series forecasting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction MPM: Multi patterns memory model for short-term time series forecasting,

Reference 5

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This paper cites The importance of short lag-time in the runoff forecast- ing model based on long short-term memory,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction The importance of short lag-time in the runoff forecast- ing model based on long short-term memory,

Reference 6

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Observation 146a300e-7043-44a7-8a23-b1b3a731fee5 · outbound

This paper cites Forecasting of noisy chaotic systems with deep neural networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Forecasting of noisy chaotic systems with deep neural networks,

Reference 7

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Observation 2c9f044b-5cd9-404a-afcd-d3d467e7abb4 · outbound

This paper cites Time series analysis using autoregressive integrated moving average (ARIMA) models,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Time series analysis using autoregressive integrated moving average (ARIMA) models,

Reference 8

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Observation b797b208-6667-4ef3-8323-fa9c1ed0b89c · outbound

This paper cites Time series forecasting using artificial neural networks methodologies: A systematic review,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Time series forecasting using artificial neural networks methodologies: A systematic review,

Reference 9

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Observation 3e2f9576-b966-4a95-aaa7-0790da49b837 · outbound

This paper cites Autoregressive models in environ- mental forecasting time series: A theoretical and application review,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Autoregressive models in environ- mental forecasting time series: A theoretical and application review,

Reference 10

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Observation a5eac5eb-f6fe-4ad1-ad38-a9be4593513f · outbound

This paper cites Long Short-Term Memory,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Long Short-Term Memory,

Reference 11

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Observation 5051926d-d067-47c3-ba1e-12692cc5300c · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 12

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This paper cites WITRAN: Water- wave information transmission and recurrent acceleration network for long-range time series forecasting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction WITRAN: Water- wave information transmission and recurrent acceleration network for long-range time series forecasting,

Reference 13

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Observation 3c27e427-b8a1-4532-a575-320d40370cac · outbound

This paper cites Temporal pattern attention for multivariate time series forecasting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Temporal pattern attention for multivariate time series forecasting,

Reference 14

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Observation d77d4b46-d66d-4984-85e4-7508438c8449 · outbound

This paper cites A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Reference 15

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Observation 9578ce82-d23c-4081-8b0d-df9542ed1b19 · outbound

This paper cites NGCU: A new RNN model for time-series data prediction,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction NGCU: A new RNN model for time-series data prediction,

Reference 16

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Observation 4cbec20b-f81f-47e5-9e64-6d9c3fd9ad96 · outbound

This paper cites Hierarchically gated recurrent neu- ral network for sequence modeling,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Hierarchically gated recurrent neu- ral network for sequence modeling,

Reference 17

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Observation 0c2c4861-c6fc-478b-bd55-ded44c8fa4d0 · outbound

This paper cites DeepAR: Probabilistic forecasting with autoregressive recurrent networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction DeepAR: Probabilistic forecasting with autoregressive recurrent networks,

Reference 18

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Observation 8210a238-f3ed-4ed3-ba37-d2d8a117bec5 · outbound

This paper cites Learning generative RNN-ODE for collaborative time-series and event sequence forecasting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Learning generative RNN-ODE for collaborative time-series and event sequence forecasting,

Reference 19

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Observation 104cbc1a-224e-473b-8ba9-d656eafb6c2b · outbound

This paper cites Independently Recurrent Neural Network (IndRNN): Building a longer and deeper RNN,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Independently Recurrent Neural Network (IndRNN): Building a longer and deeper RNN,

Reference 20

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Observation 4170f9fe-4cd6-4bb0-805b-b5073154c167 · outbound

This paper cites New approach to information fusion steady-state Kalman filtering,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction New approach to information fusion steady-state Kalman filtering,

Reference 21

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Observation 22d570b7-74a8-4a9e-b6cb-dd89fb4ef752 · outbound

This paper cites an unresolved cited work.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Unresolved cited work

Reference 22

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Observation f7dbb781-4b6a-459b-8115-fcef538df854 · outbound

This paper cites A predictive-reactive method for improving the robustness of real-time data services,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction A predictive-reactive method for improving the robustness of real-time data services,

Reference 23

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Observation afb2548e-be12-43ce-adf1-7c845eae79b7 · outbound

This paper cites Data-driven output predic- tion and control of stochastic systems: An innovation-based approach,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Data-driven output predic- tion and control of stochastic systems: An innovation-based approach,

Reference 24

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Observation c914080b-2b79-4aba-a019-182277682173 · outbound

This paper cites Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis,

Reference 25

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Observation c35cd401-f72f-45e3-a976-edf00702317f · outbound

This paper cites Design of neural network-based estimator for tool wear modeling in hard turning,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Design of neural network-based estimator for tool wear modeling in hard turning,

Reference 26

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Observation 62e85ec5-6b2e-4758-8458-bb247361f730 · outbound

This paper cites Model predictive control of unknown nonlinear dynamical systems based on recurrent neural networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Model predictive control of unknown nonlinear dynamical systems based on recurrent neural networks,

Reference 27

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Observation 2fc5fcaf-ec8f-4661-a9ed-93cd11bbc179 · outbound

This paper cites Machine learning- based predictive control of nonlinear processes. Part I: Theory,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Machine learning- based predictive control of nonlinear processes. Part I: Theory,

Reference 28

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This paper cites Machine-learning-based predictive control of nonlinear pro- cesses. Part II: Computational implementation,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Machine-learning-based predictive control of nonlinear pro- cesses. Part II: Computational implementation,

Reference 29

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Observation 4d1b8acd-68a0-4fcb-99fd-f05274774121 · outbound

This paper cites Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:11.588078Z

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Observation bc343e29-b104-4032-ae1e-cef76c3a3e02 · outbound

This paper cites A new concept using LSTM neural networks for dynamic system identification,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction A new concept using LSTM neural networks for dynamic system identification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:11.573531Z

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Observation 632fecf6-ac3b-4970-a2cc-27759e305a8e · outbound

This paper cites A recurrent neural network- based identification of complex nonlinear dynamical systems: A novel structure, stability analysis and a comparative study,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction A recurrent neural network- based identification of complex nonlinear dynamical systems: A novel structure, stability analysis and a comparative study,

Reference 32

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Observation b5c9597e-9864-4077-91a1-125485e542d4 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Efficiently modeling long sequences with structured state spaces,

Reference 33

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Observation da7ebddb-59db-41db-b69c-753c01f0ce1e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 34

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Observation e0e6ba2b-4c60-47cc-b180-dcf69d353e04 · outbound

This paper cites Is Mamba effective for time series forecasting?.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Is Mamba effective for time series forecasting?

Reference 35

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Observation 3c2b7b37-1ff4-4cb0-a1ef-41c1a20be044 · outbound

This paper cites Convergence study in extended Kalman filter- based training of recurrent neural networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Convergence study in extended Kalman filter- based training of recurrent neural networks,

Reference 36

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Observation 71244141-c231-4f0d-9d02-1c6ccb5278eb · outbound

This paper cites Recurrent neural network training with convex loss and regularization functions by extended Kalman filtering,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Recurrent neural network training with convex loss and regularization functions by extended Kalman filtering,

Reference 37

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Observation 8de6b39c-f3f1-4f4e-9b9b-f7264201e5e6 · outbound

This paper cites Deep state space models for time series forecasting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Deep state space models for time series forecasting,

Reference 38

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Observation 75d1f73a-c366-4a9a-b65e-e70f19aa4bb2 · outbound

This paper cites an unresolved cited work.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Unresolved cited work

Reference 39

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Observation 23d7741f-4e8b-4166-9a06-205efe1b4179 · outbound

This paper cites An empirical exploration of recurrent network architectures,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction An empirical exploration of recurrent network architectures,

Reference 40

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Observation bf8e7256-c48d-469e-b9c3-c121b39c13b5 · outbound

This paper cites Survey on research of RNN-based spatio-temporal sequence prediction algorithms,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Survey on research of RNN-based spatio-temporal sequence prediction algorithms,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:11.447030Z

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Observation 3cad1d10-9f47-4d95-9cf1-b79852738152 · outbound

This paper cites Backpropagation through time: What it does and how to do it,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Backpropagation through time: What it does and how to do it,

Reference 42

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Observation 9ad15072-024d-4224-836d-e4abaffd82eb · outbound

This paper cites Chauvin and D.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Chauvin and D

Reference 43

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Observation 53290b4e-589b-4320-acf4-6dc140102e89 · outbound

This paper cites On-line learning algorithms for locally recurrent neural networks,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction On-line learning algorithms for locally recurrent neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:11.402380Z

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Observation 0e690641-cb64-4122-86e7-89d5936872b7 · outbound

This paper cites SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

Reference 45

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Observation eaa58e2b-c031-4f04-8455-84208294b3b9 · outbound

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

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 46

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Source-reported events for the cited work

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Observation 74769abf-6603-4003-a237-bcad0f42d577 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 47

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Observation 1dc94610-2e33-4fcc-84a1-0d29a9ea9fd2 · outbound

This paper cites Deep Time Series Models: A Comprehensive Survey and Benchmark.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Deep Time Series Models: A Comprehensive Survey and Benchmark

Reference 48

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

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Foundation models for time series analysis: A tutorial and survey,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:00:11.368529Z

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Observation d4ae69b3-03f4-4466-aff5-bffd1940263f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Adam: A Method for Stochastic Optimization

Reference 50

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This paper cites Pytorch: An imperative style, high-performance deep learning library,.

IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Pytorch: An imperative style, high-performance deep learning library,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T23:00:11.212052Z

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Observation 122ea962-27db-46f3-90de-3af7672158b4 · outbound

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IRNN: Innovation-driven Recurrent Neural Network for Time-Series Data Modeling and Prediction Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:00:11.343241Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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