Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
General Invertible Transformations for Flow-based Generative Modeling

Nov 30, 2020
Jakub M. Tomczak

* Code: https://github.com/jmtomczak/git_flow 

  Access Paper or Ask Questions

i-DenseNets

Oct 23, 2020
Yura Perugachi-Diaz, Jakub M. Tomczak, Sandjai Bhulai


  Access Paper or Ask Questions

ABC-Di: Approximate Bayesian Computation for Discrete Data

Oct 19, 2020
Ilze Amanda Auzina, Jakub M. Tomczak

* Code: https://github.com/IlzeAmandaA/ABCdiscrete 

  Access Paper or Ask Questions

Learning Locomotion Skills in Evolvable Robots

Oct 19, 2020
Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben

* 12 pages 

  Access Paper or Ask Questions

Self-Supervised Variational Auto-Encoders

Oct 06, 2020
Ioannis Gatopoulos, Jakub M. Tomczak

* 19 pages, 14 figures, 2 tables 

  Access Paper or Ask Questions

Population-based Optimization for Kinetic Parameter Identification in Glycolytic Pathway in Saccharomyces cerevisiae

Sep 19, 2020
Ewelina Weglarz-Tomczak, Jakub M. Tomczak, Agoston E. Eiben, Stanley Brul

* Code at https://github.com/jmtomczak/popi 

  Access Paper or Ask Questions

Super-resolution Variational Auto-Encoders

Jun 30, 2020
Ioannis Gatopoulos, Maarten Stol, Jakub M. Tomczak

* 13 pages, 11 figures, 3 tables. Code available at: https://github.com/ioangatop/srVAE 

  Access Paper or Ask Questions

Wavelet Networks: Scale Equivariant Learning From Raw Waveforms

Jun 09, 2020
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn


  Access Paper or Ask Questions

The Convolution Exponential and Generalized Sylvester Flows

Jun 02, 2020
Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling


  Access Paper or Ask Questions

Designing Data Augmentation for Simulating Interventions

May 06, 2020
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré


  Access Paper or Ask Questions

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

May 04, 2020
Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

* 13 pages, 10 Figures 

  Access Paper or Ask Questions

Attentive Group Equivariant Convolutional Networks

Feb 24, 2020
David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn


  Access Paper or Ask Questions

Differential Evolution with Reversible Linear Transformations

Feb 07, 2020
Jakub M. Tomczak, Ewelina Weglarz-Tomczak, Agoston E. Eiben

* Code: https://github.com/jmtomczak 

  Access Paper or Ask Questions

Learning Discrete Distributions by Dequantization

Jan 30, 2020
Emiel Hoogeboom, Taco S. Cohen, Jakub M. Tomczak


  Access Paper or Ask Questions

Learning Directed Locomotion in Modular Robots with Evolvable Morphologies

Jan 21, 2020
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

* 30 pages, 14 figures 

  Access Paper or Ask Questions

Increasing Expressivity of a Hyperspherical VAE

Oct 07, 2019
Tim R. Davidson, Jakub M. Tomczak, Efstratios Gavves

* NeurIPS 2019, in Workshop on Bayesian Deep Learning 

  Access Paper or Ask Questions

Video Compression With Rate-Distortion Autoencoders

Aug 14, 2019
Amirhossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco S. Cohen

* Accepted to ICCV 2019 

  Access Paper or Ask Questions

DIVA: Domain Invariant Variational Autoencoders

May 24, 2019
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling


  Access Paper or Ask Questions

Simulating Execution Time of Tensor Programs using Graph Neural Networks

Apr 26, 2019
Jakub M. Tomczak, Romain Lepert, Auke Wiggers

* All authors contributed equally. Accepted as a workshop paper at Representation Learning on Graphs and Manifolds @ ICLR 2019 

  Access Paper or Ask Questions

Combinatorial Bayesian Optimization using Graph Representations

Feb 01, 2019
Changyong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling

* 12 pages 

  Access Paper or Ask Questions

Hyperspherical Variational Auto-Encoders

Sep 26, 2018
Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak

* Uncertainty in Artificial Intelligence (UAI). Proceedings of the Thirty-Fourth Conference (2018) 856- 865 
* GitHub repository: http://github.com/nicola-decao/s-vae-tf, Blogpost: https://nicola-decao.github.io/s-vae 

  Access Paper or Ask Questions

Hierarchical VampPrior Variational Fair Auto-Encoder

Jul 03, 2018
Philip Botros, Jakub M. Tomczak

* ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models 2018, final version 

  Access Paper or Ask Questions

Attention-based Deep Multiple Instance Learning

Jun 28, 2018
Maximilian Ilse, Jakub M. Tomczak, Max Welling

* ICML 2018 paper, code source: https://github.com/AMLab-Amsterdam/AttentionDeepMIL 

  Access Paper or Ask Questions

Sylvester Normalizing Flows for Variational Inference

Mar 15, 2018
Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling

* 12 pages, 4 figures 

  Access Paper or Ask Questions

VAE with a VampPrior

Feb 26, 2018
Jakub M. Tomczak, Max Welling

* 16 pages, final version, AISTATS 2018 

  Access Paper or Ask Questions

Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

Dec 05, 2017
Jakub M. Tomczak, Maximilian Ilse, Max Welling

* Workshop on "Medical Imaging meets NIPS" at NIPS 2017 

  Access Paper or Ask Questions