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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 the divisions of the IT-department. The goal is to disseminate knowledge and encourage research collaborations. The most recent journal club was held in the format of a seminar course.

Spring 2022: High-dimensional statistical models

TBA

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  2022-09-19 10:04:34 by Dave Zachariah.