Skip to main content
Department of Information Technology

Machine Learning

Facilitating research collaborations between divisions and between the department of Information technology and external parts.

Machine Learning Journal club

The arena organizes a journal club focused on topics in machine learning that are of interest to researchers across divisions. The goal was to disseminate knowledge as well as help identify research collaborations.

Each seminar will be hosted by one or more presenters who will introduce the topic and highlight one or more papers to illustrate some interesting recent work. We encourage all participants to read the paper(s).

Fall 2021: Overparameterized Machine Learning Models

Given as a seminar course.

Fall 2019: Adversarial Machine Learning

Seminar #1: Introducing adversarial examples

  • Paper
  • Presenters: Dave Zachariah
  • Date: Oct 10th, 10.15
  • Location: ITC, 4306 (next to fika rooms)

Seminar #2: Generating adversarial examples

  • Paper
  • Presenters: Dave Zachariah
  • Date: Oct 17th, 10.15
  • Location: ITC, 4306 (next to fika rooms)

Seminar #3: Adversarial learning and robustness

  • Paper
  • Presenters: Dave Zachariah
  • Date: Nov 7th, 10.15
  • Location: ITC, 4306 (next to fika rooms)

Previous

Spring 2018: Learning Complex Models via Approximate Inference

Seminar #1: Variational Inference: An overview

Seminar #2: Black Box Variational Inference

Seminar #3: Deep Generative Models

Spring 2017: Introduction to Machine Learning

Seminar #1: Gaussian Processes

Seminar #2: Probabilistic Programming

Seminar #3: Deep Learning

Seminar #4: Bayesian Optimization

Updated  2021-09-14 15:21:28 by Dave Zachariah.