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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2201.12886/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2201.12886/feed.xml" rel="self" type="application/rss+xml" /><item><title>N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting — HN submission</title><link>https://news.ycombinator.com/item?id=39175951</link><guid isPermaLink="false">urn:hackerpapers:submission:2201.12886:39175951</guid><pubDate>Mon, 29 Jan 2024 13:26:40 GMT</pubDate><description>&lt;p&gt;N-Hits: Neural Hierarchical Interpolation for Time Series Forecasting&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2201.12886/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting — mentioned by maxmc</title><link>https://news.ycombinator.com/item?id=32503589</link><guid isPermaLink="false">urn:hackerpapers:mention:2201.12886:32503589</guid><pubDate>Thu, 18 Aug 2022 00:17:31 GMT</pubDate><description>&lt;p&gt;Figure 7 of the mentioned paper evaluates FB-Prophet in a extremely convenient environment of long horizon h in {30,60,90,120,150,180}. It is known that ETS and ARIMA models concatenate errors and degrade in performance with longer forecasting horizons. We have explored and offered solutions to these issues with the N-HiTS model specialized in long-horizon (https://arxiv.org/abs/2201.12886). In recent years, FB-Prophet has gained a reputation for the poor quality of its predictions in many practical scenarios (short/medium term horizon) and its slow performance on bigger data sets; our…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2201.12886/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
