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</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/people/publications/date/Ian.Horrocks.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/people/publications/title/Ian.Horrocks.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/people/publications/type/Ian.Horrocks.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/people/publications/bibtex/Ian.Horrocks.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><p></p><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            Faithful Rule Extraction for Differentiable Rule Learning Models </strong> </p>
	    <p class="publicationAuthors"> <em> Ian Horrocks Xiaxia Wang David J. Tena Cucala Bernardo Cuenca Grau  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            The Twelfth International Conference on Learning Representations</em>.
        2024.
        </p>
	
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			Details <span class="sr-only" > about <em> Faithful Rule Extraction for Differentiable Rule Learning Models  </em></span> </a> |
			<a href="/publications/publication16227.bib">
			BibTeX  <span class="sr-only" > data for <em> Faithful Rule Extraction for Differentiable Rule Learning Models  </em></span>   </a>
			
			
					| <a href="https://openreview.net/pdf?id=kBTzlxM2J1"> Link <span class="sr-only" > to <em> Faithful Rule Extraction for Differentiable Rule Learning Models  </em></span> </a>
  				
		
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