Fredrik Johansson
PhD Student at Chalmers University of Technology
Research
My focus in research is on graph-based methods in machine learning.

This includes graph kernels and probabilistic graphical models.

I am part of the LAB group at the Computer Science department.

Here is my CV (April '16).

Teaching
I am or have been a TA in the following courses:
Contact
You can contact me by email at frejohk(at)chalmers.se or by coming to my room (6447) in the EDIT building on Chalmers Johanneberg.
Publications
Uri Shalit, Fredrik D. Johansson, David Sontag Learning Representations for Counterfactual Inference ICML '16 (To appear)
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt Dubhashi Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization NIPS '15
Fredrik D. Johansson, Otto Frost, Carl Retzner, and Devdatt Dubhashi Classifying large graphs with differential privacy MDAI '15
Linus Hermansson, Fredrik D. Johansson and Osamu Watanabe Generalized Shortest Path Kernel on Graphs Discovery Science '15
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, Chiranjib Bhattacharyya. Learning with similarity functions on graphs using matchings of geometric embeddings KDD '15
Mikael Kågebäck, Fredrik Johansson, Richard Johansson, Devdatt Dubhashi Neural context embeddings for automatic discovery of word senses NAACL-HLT '15
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, Chiranjib Bhattacharyya. Global Graph Kernels using Geometric Embeddings ICML'14 [video]
Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi. DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks ICDMW '13
Tommi Kerola, Linus Hermansson, Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi. Entity Disambiguation in Anonymized Graphs Using Graph Kernels CIKM '13
Fredrik Johansson, Tobias Färdig, Vinay Jethava, Svetoslav Marinov. Intent-aware temporal query modeling for keyword suggestion PIKM '12 p.83-86
Complete list
Software & Data

Matching Kernels is a package of graph kernels for MATLAB.

Lovasz-theta Kernel is a package of graph kernels for MATLAB.

DLOREAN is a software for inferring multi-way dynamic networks from node data.

Entity Graphs is a collection of graphs of entity interactions built from data collected by Recorded Future.

Interests