Jakub M. Tomczak

According to our database1, Jakub M. Tomczak authored at least 48 papers between 2010 and 2019.

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Bibliography

2019
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines.
Neural Processing Letters, 2019

Increasing Expressivity of a Hyperspherical VAE.
CoRR, 2019

Video Compression With Rate-Distortion Autoencoders.
CoRR, 2019

DIVA: Domain Invariant Variational Autoencoders.
CoRR, 2019

Simulating Execution Time of Tensor Programs using Graph Neural Networks.
CoRR, 2019

Combinatorial Bayesian Optimization using Graph Representations.
CoRR, 2019

DIVA: Domain Invariant Variational Autoencoder.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
Hierarchical VampPrior Variational Fair Auto-Encoder.
CoRR, 2018

Hyperspherical Variational Auto-Encoders.
CoRR, 2018

Sylvester Normalizing Flows for Variational Inference.
CoRR, 2018

Attention-based Deep Multiple Instance Learning.
CoRR, 2018

Interaction prediction in structure-based virtual screening using deep learning.
Comp. in Bio. and Med., 2018

Hyperspherical Variational Auto-Encoders.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Sylvester Normalizing Flows for Variational Inference.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Attention-based Deep Multiple Instance Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

VAE with a VampPrior.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Learning Invariant Features Using Subspace Restricted Boltzmann Machine.
Neural Processing Letters, 2017

Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification.
CoRR, 2017

VAE with a VampPrior.
CoRR, 2017

2016
Learning Informative Features from Restricted Boltzmann Machines.
Neural Processing Letters, 2016

Articulated tracking with manifold regularized particle filter.
Mach. Vis. Appl., 2016

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction.
Expert Syst. Appl., 2016

Improving Variational Auto-Encoders using Householder Flow.
CoRR, 2016

Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening.
CoRR, 2016

Self-paced Learning for Imbalanced Data.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Boosted SVM with active learning strategy for imbalanced data.
Soft Comput., 2015

Probabilistic combination of classification rules and its application to medical diagnosis.
Machine Learning, 2015

Classification Restricted Boltzmann Machine for comprehensible credit scoring model.
Expert Syst. Appl., 2015

Improving neural networks with bunches of neurons modeled by Kumaraswamy units: Preliminary study.
CoRR, 2015

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015

2014
Subspace Restricted Boltzmann Machine.
CoRR, 2014

Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients.
Appl. Soft Comput., 2014

Selecting right questions with Restricted Boltzmann Machines.
Proceedings of the Progress in Systems Engineering, 2014

Accelerated learning for Restricted Boltzmann Machine with momentum term.
Proceedings of the Progress in Systems Engineering, 2014

Sparse hidden units activation in Restricted Boltzmann Machine.
Proceedings of the Progress in Systems Engineering, 2014

2013
Decision rules extraction from data stream in the presence of changing context for diabetes treatment.
Knowl. Inf. Syst., 2013

Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping.
CoRR, 2013

On-line bayesian context change detection in web service systems.
Proceedings of the 2013 international workshop on Hot topics in cloud services, 2013

Associative Learning Using Ising-Like Model.
Proceedings of the Advances in Systems Science, 2013

Manifold Regularized Particle Filter for Articulated Human Motion Tracking.
Proceedings of the Advances in Systems Science, 2013

2012
Gaussian process regression as a predictive model for Quality-of-Service in Web service systems
CoRR, 2012

On-Line Change Detection for Resource Allocation in Service-Oriented Systems.
Proceedings of the Technological Innovation for Value Creation, 2012

Development of Service Composition by Applying ICT Service Mapping.
Proceedings of the Computer Networks - 19th International Conference, 2012

A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Context Change Detection for Resource Allocation in Service-Oriented Systems.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Personalisation in Service-Oriented Systems Using Markov Chain Model and Bayesian Inference.
Proceedings of the Technological Innovation for Sustainability, 2011

2010
Service Discovery Approach Based on Rough Sets for SOA Systems.
Proceedings of the Advances in Multimedia and Network Information System Technologies, 2010

Student Courses Recommendation Using Ant Colony Optimization.
Proceedings of the Intelligent Information and Database Systems, 2010


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