Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks | Paper Citation Record

Observation 61c924a8-f328-4ba2-b94a-36e623bba07a · outbound

This paper cites 2023 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2023 , doi =

Reference 1

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Observation ece5d31a-693e-4247-906a-8a57abb4054e · outbound

This paper cites and Ng, Serena , journal =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Ng, Serena , journal =

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Observation 37d44f79-f73d-4985-992d-3322d11982be · outbound

This paper cites 2020 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2020 , doi =

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This paper cites 2022 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2022 , doi =

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This paper cites 2020 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2020 , doi =

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Observation dccc014f-8b9d-4cb4-bb23-740e36e47158 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Journal of Business & Economic Statistics , volume=

Reference 6

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This paper cites 2016 , publisher=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2016 , publisher=

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Observation f0e325bc-3ce8-4e34-8749-c42e25a3799f · outbound

This paper cites 2014 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2014 , url =

Reference 8

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Observation 1d4222b0-2655-438c-af5d-31826841fc69 · outbound

This paper cites 2021 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , doi =

Reference 9

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Observation 056f7851-bfd6-4764-8362-1b8dbc601b9a · outbound

This paper cites 2004 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2004 , url =

Reference 10

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Observation eb075b3d-a444-4376-9e40-75c6e57fa735 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks , journal =

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Observation b7703e34-03fa-4eac-b079-9fc3dc6aba7f · outbound

This paper cites 2008 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2008 , url =

Reference 12

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Observation 4b9cc975-0ee3-4c6a-92dd-0cfaa59aa6f2 · outbound

This paper cites 2010 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2010 , doi =

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Observation b0aa5f9c-70bd-4b32-b704-c59e25beff39 · outbound

This paper cites 2010 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2010 , url =

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Observation 17074031-553e-4121-9c3d-cd4570153d6a · outbound

This paper cites 2010 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2010 , doi =

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Observation b5bfcb73-b43a-46ae-b659-729384b21ccf · outbound

This paper cites 2013 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2013 , doi =

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Observation 3d8840cb-192c-472b-a45a-54247eb87770 · outbound

This paper cites and Ghysels, Eric and Sohn, Bumjean , journal =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Ghysels, Eric and Sohn, Bumjean , journal =

Reference 17

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Observation 0b5eb6bc-77b7-436b-8705-cfdaa9e63913 · outbound

This paper cites 2018 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2018 , doi =

Reference 18

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Observation a4a78ec9-08f8-417f-872d-9efd2600da15 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks , journal =

Reference 19

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Observation 327d5b19-1375-4d66-899c-5df20f40f704 · outbound

This paper cites 2015 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2015 , doi =

Reference 20

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Observation bdab8204-a6f8-4557-b229-e1995c079367 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks , journal =

Reference 21

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Observation ae3ed9bb-3cf4-4094-bd18-12a4ecc7b02c · outbound

This paper cites 2016 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2016 , doi =

Reference 22

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Observation aecd2d86-bf1d-4e84-969d-b101a11d1d6f · outbound

This paper cites 2022 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2022 , url =

Reference 23

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Observation 59a2ad7d-13d8-4a53-bf1d-dac91f1f5ff3 · outbound

This paper cites 2018 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2018 , doi =

Reference 24

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Observation 8b8e08b4-0ffa-44ad-8eac-4f8415b7ec2f · outbound

This paper cites 2021 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , doi =

Reference 25

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Observation 6b434da4-2ea4-4d1b-a36d-86aa3543cd39 · outbound

This paper cites 2024 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , doi =

Reference 26

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Observation f844379d-9524-460c-80bb-69315d5c4838 · outbound

This paper cites 2020 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2020 , doi =

Reference 27

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Observation c9fa3e63-1f58-4ebb-b14e-c2f1d42e823e · outbound

This paper cites 2024 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , doi =

Reference 28

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Observation dcf0eaa3-6177-454f-ac71-7bbb8c42a3ab · outbound

This paper cites 2025 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2025 , doi =

Reference 29

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Observation b96ed856-aaac-4545-bf51-a91fdd78f867 · outbound

This paper cites Statistica Sinica , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Statistica Sinica , volume=

Reference 30

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Observation fc7055ed-0b41-4fa1-9d83-5c14a2127046 · outbound

This paper cites International Journal of Forecasting , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks International Journal of Forecasting , volume=

Reference 31

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Observation 23e93820-8a27-4594-8b59-edbd82ae7ad4 · outbound

This paper cites Oxford Bulletin of Economics and Statistics , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Oxford Bulletin of Economics and Statistics , volume=

Reference 32

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Observation e8b5a482-5a3b-4614-b596-0117e3f13872 · outbound

This paper cites Journal of Forecasting , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Journal of Forecasting , volume=

Reference 33

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Observation 923b05b6-84e5-4d0b-808d-ec7fdf815454 · outbound

This paper cites Electronic Journal of Statistics , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Electronic Journal of Statistics , volume=

Reference 34

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Observation 49b35e46-283d-43b2-a034-2f468b0e50ce · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks , journal =

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Observation c2710248-44da-4caf-9422-e68338931d65 · outbound

This paper cites 2024 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , url =

Reference 36

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Observation cfd7f313-7b0a-4233-b427-6905c2d41fc2 · outbound

This paper cites and Kim, Tae Bong and Seoane, Hernán D.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Kim, Tae Bong and Seoane, Hernán D

Reference 37

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Observation a9503dab-02e8-4836-8c67-102d8a1cab76 · outbound

This paper cites and Marcellino, Massimiliano , journal =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Marcellino, Massimiliano , journal =

Reference 38

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Observation 6b01f17b-e1bf-47a2-922f-77751d65745d · outbound

This paper cites 2016 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2016 , doi =

Reference 39

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Observation c7f6e4b3-30e5-4bbb-babc-c452163ccde8 · outbound

This paper cites 2021 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , url =

Reference 40

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Observation 64696440-4bfa-4127-aece-f4b2784efe9e · outbound

This paper cites and Murasawa, Yasutomo , journal =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Murasawa, Yasutomo , journal =

Reference 41

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Observation f289186d-f4b6-4350-b843-383476120f36 · outbound

This paper cites 2007 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2007 , doi =

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Observation 9cbc0aa8-c445-4e35-924b-d48e5bc650be · outbound

This paper cites 2008 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2008 , doi =

Reference 43

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Observation 60ecf5c8-6975-4135-ac40-7a99d7cb455c · outbound

This paper cites European Central Bank , year=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks European Central Bank , year=

Reference 44

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Observation 698c33df-c9b9-4512-afac-7e17599b0f22 · outbound

This paper cites 2022 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2022 , doi =

Reference 45

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Observation ada0fcc6-c58a-4bbb-9569-ce573906d684 · outbound

This paper cites 2016 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2016 , doi =

Reference 46

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Observation 3591add2-a03d-4cdf-8e5e-0f9b82673d69 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks , month =

Reference 47

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Observation 4cdebf9c-8f4d-46a5-b0d7-27f2e3c29854 · outbound

This paper cites 2024 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , doi =

Reference 48

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Observation 8586fb37-d10b-4bdc-8cfe-efafff9abccc · outbound

This paper cites 2020 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2020 , doi =

Reference 49

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Observation 022e27c0-752d-439e-919f-4e6393106f4d · outbound

This paper cites 2021 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , doi =

Reference 50

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Observation de82f542-ec59-42fa-ab0c-8814e02600c4 · outbound

This paper cites 2021 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , doi =

Reference 51

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Observation 4b87c06b-0fe6-457a-a47b-1fa0c90c3e9e · outbound

This paper cites 2021 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2021 , doi =

Reference 52

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Observation e197d23f-85ce-4121-bf28-5c312bed7980 · outbound

This paper cites 2022 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2022 , url =

Reference 53

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Observation c12e7ad5-fff9-4fcc-8a93-dae477301685 · outbound

This paper cites and Liang, Tengyuan and Misra, Sanjog , journal =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Liang, Tengyuan and Misra, Sanjog , journal =

Reference 54

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Observation 602599be-509f-4e34-8893-17d22d57a77b · outbound

This paper cites 2018 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2018 , url =

Reference 55

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Observation da55290f-c057-427c-ac13-0e4cf4398917 · outbound

This paper cites 2019 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2019 , doi =

Reference 56

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Observation fb5782c7-bdeb-4809-9198-c1933db71407 · outbound

This paper cites 2025 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2025 , url =

Reference 57

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Observation 44564a0c-bd97-4b4e-8c02-6e92c879b59b · outbound

This paper cites 2002 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2002 , doi =

Reference 58

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Observation 5e5b2cbd-9eb2-4aa8-8cc0-7e2e66a0ebfd · outbound

This paper cites Nature , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Nature , volume=

Reference 59

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Observation a3df6f97-f4a8-4a0a-ae23-377fe339273a · outbound

This paper cites Neural Computation , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Neural Computation , volume=

Reference 60

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Observation bf9e9764-272d-497a-85c3-8de433aea9a2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 61

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Observation e72948f5-950e-4b41-88b8-d53a6c441148 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 62

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Observation 79bdefcb-4961-499c-8087-2d1ad0fccc18 · outbound

This paper cites 2014 , url =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2014 , url =

Reference 63

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Observation b1a3b952-b99c-4647-aa21-4a368aef3e08 · outbound

This paper cites 2016 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2016 , doi =

Reference 64

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Observation f62e6368-645e-4193-a1ba-222c6a8ec28b · outbound

This paper cites 2023 , volume=.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2023 , volume=

Reference 65

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Observation d456f72e-d641-4751-8842-61d8c45031d8 · outbound

This paper cites 2015 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2015 , doi =

Reference 66

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Observation 63fe11d7-5e59-4ed4-8d0d-a025ae7872a6 · outbound

This paper cites 2019 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2019 , doi =

Reference 67

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Observation 78fd82a6-bc7c-4837-9416-497ceb2b8a79 · outbound

This paper cites 2024 , doi =.

Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , doi =

Reference 68

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks José and Louhichi, Sana and Prieur, Clémentine , month =

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks and Harvey, Nick and Liaw, Christopher and Mehrabian, Abbas , journal =

Reference 74

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks IEEE Transactions on Information Theory , volume=

Reference 75

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2023 , url =

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Observation 887be60d-5b5c-4ca4-8861-a29e0d7e74ec · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Prediction of time series by statistical learning: general losses and fast rates

Reference 77

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Observation 0d1028b9-0f37-4fb6-b13c-ff3c2b70bb83 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Journal of Machine Learning Research , volume=

Reference 78

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks 2024 , url =

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Observation bcec4929-bcd6-403c-8916-0b83e79f25f8 · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Pattern Recognition , volume=

Reference 80

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 81

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 82

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Observation d030b526-855b-4ac2-b139-8eb9b6f0cb4a · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks arXiv preprint arXiv:2503.11835 , year=

Reference 83

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-02T01:11:06.193874Z

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Observation 82b38f1e-1718-4015-8bb4-79f65baedb9b · outbound

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Mixed-Frequency Time Series Forecasting via Depth-Separable Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence, 34:6145--6152 , year=

Reference 85

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Pith citing papers