Organizers:  Wojtek Czaja, Turner Pepper, and Gabriel Vilarroubi
When: Fridays at 1:00pm
MTH 1310
Description: The RIT treats various topics in machine learning and computer vision, particularly focusing on deep neural networks. Everyone who is interested is encouraged to attend. We will hold one or two introductory talks on Deep Learning to kick off the semester. As the semester unfolds we will have participants volunteer to give talks about papers of interest or their own research in the field.

Archives: F2015-S2016 F2016-S2017 F2017-S2018 F2018-S2019 F2021-S2022 

  • Machine Unlearning: Linear Filtration for Logit-based Classifiers

    Speaker: Gonzalo Benavides (AMSC) -

    When: Fri, September 30, 2022 - 1:00pm
    Where: Kirwan Hall 1310
  • On the Universality of Invariant Networks

    Speaker: Shashank Sule (AMSC) -

    When: Fri, October 14, 2022 - 1:00pm
    Where: Kirwan Hall 1310
  • ADef: an Iterative Algorithm to Construct Adversarial Deformations

    Speaker: Matthias Wellershoff (MATH) -

    When: Fri, October 21, 2022 - 1:00pm
    Where: Kirwan Hall 1310
  • Group-invariant max filtering

    Speaker: Stratos Tsoukanis (MATH) -

    When: Fri, October 28, 2022 - 1:00pm
    Where: Kirwan Hall 1310
  • Deep Haar Scattering Networks

    Speaker: Canran Ji (MATH) -

    When: Fri, November 11, 2022 - 1:00pm
    Where: Kirwan Hall 1310
  • A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions

    Speaker: Sanghoon Na (AMSC) -

    When: Fri, November 18, 2022 - 1:00pm
    Where: Kirwan 1310