A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
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"content": "<p>This is my student Lorenzo's (<a href=\"https://loreloc.github.io/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">loreloc.github.io/</span><span class=\"invisible\"></span></a>) first paper and joint work with amazing Nicola Di Mauro and <span class=\"h-card\"><a href=\"https://sigmoid.social/@rope\" class=\"u-url mention\">@<span>rope</span></a></span> !</p><p>Check out the paper<br />📜 <a href=\"https://openreview.net/forum?id=RSGNGiB1q4\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">openreview.net/forum?id=RSGNGi</span><span class=\"invisible\">B1q4</span></a><br />and the code<br />🖥️ <a href=\"https://github.com/april-tools/gekcs\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">github.com/april-tools/gekcs</span><span class=\"invisible\"></span></a></p><p>or reach out if you want to talk about <a href=\"https://ellis.social/tags/probabilities\" class=\"mention hashtag\" rel=\"tag\">#<span>probabilities</span></a>, <a href=\"https://ellis.social/tags/reasoning\" class=\"mention hashtag\" rel=\"tag\">#<span>reasoning</span></a> and <a href=\"https://ellis.social/tags/generative\" class=\"mention hashtag\" rel=\"tag\">#<span>generative</span></a> modelling</p>",
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"content": "<p>GeKCs ensure that triples violating logical constraints will have zero probability. This means that only triples satisfying constraints can be predicted, as they will have positive probability. We build on top of recent breakthroughs in <a href=\"https://ellis.social/tags/NeurosymbolicAI\" class=\"mention hashtag\" rel=\"tag\">#<span>NeurosymbolicAI</span></a> (<a href=\"https://openreview.net/forum?id=o-mxIWAY1T8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">openreview.net/forum?id=o-mxIW</span><span class=\"invisible\">AY1T8</span></a>)!</p>",
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"conversation": "tag:ellis.social,2023-12-05:objectId=6705924:objectType=Conversation",
"content": "<p>KGE models struggle to integrate logical constraints (e.g., domain knowledge of a biomedical KG), as they predict triples violating them. Guaranteeing the satisfaction of constraints is crucial to make reliable predictions in high-stake applications (e.g., drug discovery).</p>",
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"content": "<p>While training KGE models is expensive (both in time and memory as shown in the GIF) when dealing with large knowledge graphs with millions of entities, GeKCs come with significant savings as they allow for a much more efficient evaluation of loss functions on GPUs.</p>",
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"content": "<p>To do so, we first show that some KGE score functions such as ComplEx (and many variants) are actually special circuits (but not yet probabilistic!). </p><p>Then, we show when and how we can convert them into probabilistic circuits modelling a probability distribution over all possible triples.</p>",
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"conversation": "tag:ellis.social,2023-12-05:objectId=6705924:objectType=Conversation",
"content": "<p>We propose to reinterpret KGE models into generative KGE circuits (GeKCs 🦎). </p><p>GeKCs model a probability distribution over triples in a knowledge graph. </p><p>Such interpretation is built on top of <a href=\"https://ellis.social/tags/probabilistic\" class=\"mention hashtag\" rel=\"tag\">#<span>probabilistic</span></a> <a href=\"https://ellis.social/tags/circuits\" class=\"mention hashtag\" rel=\"tag\">#<span>circuits</span></a> (PCs) which bring the perks mentioned above. See the 🧵 below!</p>",
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"en": "<p>We propose to reinterpret KGE models into generative KGE circuits (GeKCs 🦎). </p><p>GeKCs model a probability distribution over triples in a knowledge graph. </p><p>Such interpretation is built on top of <a href=\"https://ellis.social/tags/probabilistic\" class=\"mention hashtag\" rel=\"tag\">#<span>probabilistic</span></a> <a href=\"https://ellis.social/tags/circuits\" class=\"mention hashtag\" rel=\"tag\">#<span>circuits</span></a> (PCs) which bring the perks mentioned above. See the 🧵 below!</p>"
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"content": "<p>We convert popular knowledge graph embedding (KGE) models such as ComplEx into generative models of triples that</p><p>1️⃣ better scale training to very large knowledge graphs <br />2️⃣ make reliable predictions with logical constraints<br />3️⃣ support sampling</p><p>in our <a href=\"https://ellis.social/tags/NeurIPS2023\" class=\"mention hashtag\" rel=\"tag\">#<span>NeurIPS2023</span></a> oral!</p>",
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"content": "<p>I will be hiring through <a href=\"https://ellis.social/tags/ELLIS\" class=\"mention hashtag\" rel=\"tag\">#<span>ELLIS</span></a> this year: 3 fully-funded PhD positions for troublemakers in <a href=\"https://ellis.social/tags/ML\" class=\"mention hashtag\" rel=\"tag\">#<span>ML</span></a> <a href=\"https://ellis.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> who want to design the next gen of <a href=\"https://ellis.social/tags/probabilistic\" class=\"mention hashtag\" rel=\"tag\">#<span>probabilistic</span></a> <a href=\"https://ellis.social/tags/models\" class=\"mention hashtag\" rel=\"tag\">#<span>models</span></a> and <a href=\"https://ellis.social/tags/programs\" class=\"mention hashtag\" rel=\"tag\">#<span>programs</span></a> that are provably <a href=\"https://ellis.social/tags/reliable\" class=\"mention hashtag\" rel=\"tag\">#<span>reliable</span></a> and <a href=\"https://ellis.social/tags/efficient\" class=\"mention hashtag\" rel=\"tag\">#<span>efficient</span></a></p><p>Join <a href=\"https://april-tools.github.io\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">april-tools.github.io</span><span class=\"invisible\"></span></a></p>",
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"content": "<p>Yesterday morning I had a conversation with a TESCREAL guy, and in the evening another one on the streets with people doing proselytism for a Church.</p><p>I realized today both followed a pattern: they asked me evidence for the non-existence of God or that AI won't wipe humanity out.</p>",
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"content": "<p>Ill-posed Sunday <a href=\"https://ellis.social/tags/math\" class=\"mention hashtag\" rel=\"tag\">#<span>math</span></a> <a href=\"https://ellis.social/tags/problems\" class=\"mention hashtag\" rel=\"tag\">#<span>problems</span></a> at the @BayesCentre </p><p>(by Anonymous, April 2023)</p>",
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"content": "<p>TIL why it is called a <a href=\"https://ellis.social/tags/murder\" class=\"mention hashtag\" rel=\"tag\">#<span>murder</span></a> of <a href=\"https://ellis.social/tags/crows\" class=\"mention hashtag\" rel=\"tag\">#<span>crows</span></a>...</p><p>The culprits flew away in this marvellous <a href=\"https://ellis.social/tags/Scottish\" class=\"mention hashtag\" rel=\"tag\">#<span>Scottish</span></a> <a href=\"https://ellis.social/tags/morning\" class=\"mention hashtag\" rel=\"tag\">#<span>morning</span></a> from the terrace of @InfAtEd Forum...</p>",
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"content": "<p>everytime I read Lausanne (Losanna in 🇮🇹), my bread brain spells it Lasagna 🍝</p><p>apologies to my @EPFL_en @ICepfl friends 🤦</p><p>(weekends writing recommendation letters for students do this effect)</p>",
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