Nate Veldt
@n_veldt
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Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University
College Station, TX
Joined August 2016
WOW. đ± A STUNNING upset in the menâs 1500m as AMERICAN COLE HOCKER takes gold! #ParisOlympics
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Thanks, David!
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Congratulations to Professors Zikas, @msbaz2013, Aliaga, Benes, and @dgleich for being awarded #Purdue Universityâs prestigious Seed for Success Acorn Awards. âĄïž https://t.co/6DNa6ckqTd
#ComputerScience #DataScience #AI #PurdueCS #TheNextGiantLeap #PurdueComputes
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The November issue of SIAM News is now available! In this month's edition, @n_veldt finds that even a seemingly minor generalization of the standard #hypergraph cut penalty yields a rich space of theoretical questions and #complexity results. Check it out! https://t.co/Tv00MWd0B3
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Today @raybbecker led us through the paper by @austinbenson, @n_veldt, and @dgleich titled "Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails" https://t.co/3ZersIfRWY
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SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23) May 31 â June 2, 2023 Seattle, Washington, U.S. New submission due dates: Registering a submission: Jan 16; Paper submission deadline; Jan 23.
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SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23), May 31 -- June 2, 2023 https://t.co/a89KZh1IKn Important dates: Short Abstract and Submission Registration: Jan 9, 2023 Papers and Presentations-without-papers: Jan 16, 2023 #SIAMACDA23
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Last week, Michael Bender, Bora Ucar (@UCARBora1), I organized a community-building workshop for the SIAM Activity Group on Applied and Computational Discrete Algorithms (ACDA, @siam_acda) at Aussois, France.
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More details, and link to paper submissions are available on our (still evolving) webpage.
sites.google.com
Description and CFP Modern complex datasets and systems often involve interactions of multiple objects or entities, which are naturally represented by higher-order structures, such as tensors,...
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Paper submission: Sept 2, notification: Sept 23. Workshop: Sometime in Nov 30-Dec 4. Paper submissions follow the standard ICDM 2022 guidelines. Accepted papers will be published in the ICDM Workshop proceedings.
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Do you do research on hypergraphs, simplicial complexes, higher-order graphs, higher-order machine learning, or [insert favorite âhigher orderâ complex systems term here]? Submit to our ICDM Workshop on Machine Learning on Higher-order Structured Data!
sites.google.com
Description and CFP Modern complex datasets and systems often involve interactions of multiple objects or entities, which are naturally represented by higher-order structures, such as tensors,...
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The Department of Computer Science and Engineering at Texas A&M University invites applications for multiple full-time tenured or tenure-track positions. Open rank, open area. https://t.co/MP5hUM3En8
cra.org
The Department of Computer Science and Engineering at Texas A&M University invites applications for multiple full-time tenured or tenure-track positions with 9-month academic appointments and tâŠ
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Need data (networks, hypergraphs, tensors, ML, AI)? Hereâs a timestamped and linked digest of Anthony Fauciâs emails https://t.co/4Ude2KaDv4 from @JasonLeopold FOIA request. With @austinbenson and @n_veldt Data and Code
github.com
Contribute to nveldt/fauci-email development by creating an account on GitHub.
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So who's going to be at #SIAMACDA21 next week? Hoping to see some familiar faces! @austinbenson @RichVuduc @dgleich @eapurvine @Prof_DavidBader @aydoz @DocSparse @rpeng233 ? PS. Check your email for instructions on participating in the Introduction Blitz on Monday!
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Just finished working through this very nice tutorial on learning over hypergraphs and simplicial complexes. https://t.co/lGlxXJd7BP An excellent resource for (re)gaining familiarity with the basics of the area if one is new (or grew skeptical at some point). h/t: @n_veldt
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(13/13) Code and information about data can be found at
github.com
Contribute to nveldt/HypergraphHomophily development by creating an account on GitHub.
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(12/n) This an other intuitive observations are hidden if we collapse group picture data into a graph based on photo co-appearances, and just use standard network measures of homophily.
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(11/n) Our framework also reveals how gender distribution in group pictures varies in terms of group size, as well as the type of group photo. E.g., gender homogeneous groups are common in photos taken at weddings, but statistically uncommon in family portraits.
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