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        <datestamp>2024-03-06T10:43:15Z</datestamp>
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          <dc:title>Towards Blackbox Identity Testing of Log-Variate Circuits</dc:title>
          <dc:creator>Forbes, Michael A.</dc:creator>
          <dc:creator>Ghosh, Sumanta</dc:creator>
          <dc:creator>Saxena, Nitin</dc:creator>
          <dc:subject>hitting-set</dc:subject>
          <dc:subject>depth-3</dc:subject>
          <dc:subject>diagonal</dc:subject>
          <dc:subject>derandomization</dc:subject>
          <dc:subject>polynomial identity testing</dc:subject>
          <dc:subject>log-variate</dc:subject>
          <dc:subject>concentration</dc:subject>
          <dc:subject>cone closed</dc:subject>
          <dc:subject>basis isolation</dc:subject>
          <dc:description>Derandomization of blackbox identity testing reduces to extremely special circuit models. After a line of work, it is known that focusing on circuits with constant-depth and constantly many variables is enough (Agrawal,Ghosh,Saxena, STOC'18) to get to general hitting-sets and circuit lower bounds. This inspires us to study circuits with few variables, eg. logarithmic in the size s.
We give the first poly(s)-time blackbox identity test for n=O(log s) variate size-s circuits that have poly(s)-dimensional partial derivative space; eg. depth-3 diagonal circuits (or Sigma wedge Sigma^n). The former model is well-studied (Nisan,Wigderson, FOCS'95) but no poly(s2^n)-time identity test was known before us. We introduce the concept of cone-closed basis isolation and prove its usefulness in studying log-variate circuits. It subsumes the previous notions of rank-concentration studied extensively in the context of ROABP models.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michael A. Forbes and Sumanta Ghosh and Nitin Saxena</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 107, 45th International Colloquium on Automata, Languages, and Programming (ICALP 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2018.54</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-90582</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.54</dc:identifier>
          <dc:language>eng</dc:language>
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