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        <title><![CDATA[Stories by Eugen Lindwurm on Medium]]></title>
        <description><![CDATA[Stories by Eugen Lindwurm on Medium]]></description>
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            <title>Stories by Eugen Lindwurm on Medium</title>
            <link>https://medium.com/@pflaenzchen?source=rss-cb9e52bc6a00------2</link>
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        <item>
            <title><![CDATA[Despite AI Rising, the Best Time to Write is Now]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/swlh/despite-ai-rising-the-best-time-to-write-is-now-fb8a36820aab?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2600/0*kORyexe3QA40m9tE" width="4195"></a></p><p class="medium-feed-snippet">AI May Be an Economic Threat to Writers but an Ally for Spreading Ideas</p><p class="medium-feed-link"><a href="https://medium.com/swlh/despite-ai-rising-the-best-time-to-write-is-now-fb8a36820aab?source=rss-cb9e52bc6a00------2">Continue reading on The Startup »</a></p></div>]]></description>
            <link>https://medium.com/swlh/despite-ai-rising-the-best-time-to-write-is-now-fb8a36820aab?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[writing-with-ai]]></category>
            <category><![CDATA[article-writing]]></category>
            <category><![CDATA[future-of-writing]]></category>
            <category><![CDATA[distribution]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Tue, 25 Mar 2025 23:46:35 GMT</pubDate>
            <atom:updated>2025-03-25T23:46:35.262Z</atom:updated>
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        <item>
            <title><![CDATA[InShort: Pruning DNNs at Initialization and SynFlow]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@pflaenzchen/inshort-pruning-dnns-at-initialization-and-synflow-6386500e2f01?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2600/0*T67qXWTCB5aX7FkL" width="5142"></a></p><p class="medium-feed-snippet">In this article, I would like to provide an intuition about a very exciting and recent topic in deep learning: pruning at initialization.</p><p class="medium-feed-link"><a href="https://medium.com/@pflaenzchen/inshort-pruning-dnns-at-initialization-and-synflow-6386500e2f01?source=rss-cb9e52bc6a00------2">Continue reading on Medium »</a></p></div>]]></description>
            <link>https://medium.com/@pflaenzchen/inshort-pruning-dnns-at-initialization-and-synflow-6386500e2f01?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[pruning]]></category>
            <category><![CDATA[neural-networks]]></category>
            <category><![CDATA[deep-learning]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Sat, 09 Nov 2024 18:17:30 GMT</pubDate>
            <atom:updated>2024-11-09T18:17:30.480Z</atom:updated>
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            <title><![CDATA[On AI Art]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/on-ai-art-531a4506c518?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2600/0*e1wOXP2ePVqDRywW" width="6000"></a></p><p class="medium-feed-snippet">Is AI art, art? Yes. Should you sell AI art? Probably not.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/on-ai-art-531a4506c518?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/on-ai-art-531a4506c518?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[editors-pick]]></category>
            <category><![CDATA[generative-art]]></category>
            <category><![CDATA[art]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[ai-art]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Fri, 30 Dec 2022 01:01:21 GMT</pubDate>
            <atom:updated>2022-12-30T01:01:21.856Z</atom:updated>
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        <item>
            <title><![CDATA[Basics: Gradient*Input as Explanation]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/basics-gradient-input-as-explanation-bca79bb80de0?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/1591/1*GA2V9Pg3gqxlKLlovHvsLQ.png" width="1591"></a></p><p class="medium-feed-snippet">A simple method for simple functions.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/basics-gradient-input-as-explanation-bca79bb80de0?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/basics-gradient-input-as-explanation-bca79bb80de0?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[interpretable-ai]]></category>
            <category><![CDATA[getting-started]]></category>
            <category><![CDATA[editors-pick]]></category>
            <category><![CDATA[model-interpretability]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Sat, 20 Feb 2021 20:22:45 GMT</pubDate>
            <atom:updated>2021-03-03T21:01:02.889Z</atom:updated>
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        <item>
            <title><![CDATA[InShort: Occlusion Analysis for Explaining DNNs]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/inshort-occlusion-analysis-for-explaining-dnns-d0ad3af9aeb6?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2067/1*ogpaKqqoD7radhozbmKnfw.png" width="2067"></a></p><p class="medium-feed-snippet">Perhaps the simplest method to figure out why your model fails.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/inshort-occlusion-analysis-for-explaining-dnns-d0ad3af9aeb6?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/inshort-occlusion-analysis-for-explaining-dnns-d0ad3af9aeb6?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[explainable-ai]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[ai]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[interpretability]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Wed, 20 Jan 2021 00:58:56 GMT</pubDate>
            <atom:updated>2021-01-20T00:58:56.288Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Is Generative Art for You?]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/is-generative-art-for-you-b1e1499945e6?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/600/1*lYWKUxxHopgACfo-OBEsNQ.png" width="600"></a></p><p class="medium-feed-snippet">About the ups and downs of creating visual generative art.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/is-generative-art-for-you-b1e1499945e6?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/is-generative-art-for-you-b1e1499945e6?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[generative-art]]></category>
            <category><![CDATA[programming]]></category>
            <category><![CDATA[art]]></category>
            <category><![CDATA[computational-art]]></category>
            <category><![CDATA[creativity]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Wed, 13 Jan 2021 20:16:08 GMT</pubDate>
            <atom:updated>2021-01-13T20:16:08.537Z</atom:updated>
        </item>
        <item>
            <title><![CDATA[Fundamental Elements Of Generative Art]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/fundamental-elements-of-generative-art-11175f4741e5?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/760/1*9HawIf_DTJF9ZnEBp3k9yQ.png" width="760"></a></p><p class="medium-feed-snippet">An exploration of basic compositional methods of computer-generated visual art.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/fundamental-elements-of-generative-art-11175f4741e5?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/fundamental-elements-of-generative-art-11175f4741e5?source=rss-cb9e52bc6a00------2</link>
            <guid isPermaLink="false">https://medium.com/p/11175f4741e5</guid>
            <category><![CDATA[getting-started]]></category>
            <category><![CDATA[editors-pick]]></category>
            <category><![CDATA[generative-art]]></category>
            <category><![CDATA[programming]]></category>
            <category><![CDATA[art]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Tue, 12 Jan 2021 13:44:14 GMT</pubDate>
            <atom:updated>2021-01-18T23:13:16.436Z</atom:updated>
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            <title><![CDATA[InDepth: Explaining DNNs with Gradients]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/indepth-explaining-dnns-with-gradients-2bb148a30ba0?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/600/1*2V_9CK-IPhsgNA3UOTuijA.png" width="600"></a></p><p class="medium-feed-snippet">Gradients, SmoothGrad, and Integrated Gradients as machine learning explanations, explained.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/indepth-explaining-dnns-with-gradients-2bb148a30ba0?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/indepth-explaining-dnns-with-gradients-2bb148a30ba0?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[explainable-ai]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[gradient]]></category>
            <category><![CDATA[data-science]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Tue, 12 Jan 2021 13:10:43 GMT</pubDate>
            <atom:updated>2021-01-12T13:10:43.768Z</atom:updated>
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            <title><![CDATA[Deep Learning, Meet Clever Hans]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/deep-learning-meet-clever-hans-3576144dc5a9?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2600/0*2zPS2ngW0fdscgzd" width="5184"></a></p><p class="medium-feed-snippet">An article about hidden mistakes made by DNNs, why they are really not mistakes, and a German horse.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/deep-learning-meet-clever-hans-3576144dc5a9?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/deep-learning-meet-clever-hans-3576144dc5a9?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[ai]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[artificial-intelligence]]></category>
            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Sat, 15 Aug 2020 18:05:37 GMT</pubDate>
            <atom:updated>2020-08-15T18:05:37.982Z</atom:updated>
        </item>
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            <title><![CDATA[Regularization in Machine Learning]]></title>
            <description><![CDATA[<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science/regularization-in-machine-learning-b73bc486162a?source=rss-cb9e52bc6a00------2"><img src="https://cdn-images-1.medium.com/max/2600/0*vtjwkQPldHpEbf36" width="5472"></a></p><p class="medium-feed-snippet">The key to making deep neural nets generalize.</p><p class="medium-feed-link"><a href="https://medium.com/data-science/regularization-in-machine-learning-b73bc486162a?source=rss-cb9e52bc6a00------2">Continue reading on TDS Archive »</a></p></div>]]></description>
            <link>https://medium.com/data-science/regularization-in-machine-learning-b73bc486162a?source=rss-cb9e52bc6a00------2</link>
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            <category><![CDATA[machine-learning]]></category>
            <category><![CDATA[deep-learning]]></category>
            <category><![CDATA[regularization]]></category>
            <category><![CDATA[neural-networks]]></category>
            <category><![CDATA[data-science]]></category>
            <dc:creator><![CDATA[Eugen Lindwurm]]></dc:creator>
            <pubDate>Sun, 26 Apr 2020 20:14:21 GMT</pubDate>
            <atom:updated>2020-04-26T21:53:16.367Z</atom:updated>
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