◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Djolonga

4 papers hereh-index 2411.6k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20152020
most citedScalable Variational Inference in Log-supermodular Models

11 citations · 16 across the 2 of their papers we have counts for

collaborators

4 papers

stat.ML2020

Fast Differentiable Sorting and Ranking

Mathieu Blondel, Olivier Teboul, Quentin Berthet +1

The sorting operation is one of the most commonly used building blocks in computer programming. In machine learning, it is often used for robust statistics. However, seen as a func…

cs.CV2019

Self-Supervised Learning of Video-Induced Visual Invariances

Michael Tschannen, Josip Djolonga, Marvin Ritter +5

We propose a general framework for self-supervised learning of transferable visual representations based on Video-Induced Visual Invariances (VIVI). We consider the implicit hierar…

stat.ML2017★ 5 cited

Learning Implicit Generative Models Using Differentiable Graph Tests

Josip Djolonga, Andreas Krause

Recently, there has been a growing interest in the problem of learning rich implicit models - those from which we can sample, but can not evaluate their density. These models apply…

cs.LG2015★ 11 cited

Scalable Variational Inference in Log-supermodular Models

Josip Djolonga, Andreas Krause

We consider the problem of approximate Bayesian inference in log-supermodular models. These models encompass regular pairwise MRFs with binary variables, but allow to capture high-…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.