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Deep Generative Modeling

Tomczak, Jakub M

Second Edition 2024, 2024

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Deep Generative Modeling

Tomczak, Jakub M

1, 2022

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Identification of ebselen and its analogues as potent covalent inhibitors of papain-like protease from SARS-CoV-2

Scientific reports, 2021-02, Vol.11 (1), p.3640-3640, Article 3640

2021

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Interaction prediction in structure-based virtual screening using deep learning

Computers in biology and medicine, 2018-09, Vol.100, p.253-258

2018

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Classification Restricted Boltzmann Machine for comprehensible credit scoring model

Expert systems with applications, 2015-03, Vol.42 (4), p.1789-1796

2015

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Self-Supervised Variational Auto-Encoders

Entropy (Basel, Switzerland), 2021-06, Vol.23 (6), p.747

2021

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GEM-Based Metabolic Profiling for Human Bone Osteosarcoma under Different Glucose and Glutamine Availability

International journal of molecular sciences, 2021-02, Vol.22 (3), p.1470

2021

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Probabilistic combination of classification rules and its application to medical diagnosis

Machine learning, 2015-10, Vol.101 (1-3), p.105-135

2015

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Approximate Bayesian Computation for Discrete Spaces

Entropy (Basel, Switzerland), 2021-03, Vol.23 (3), p.312

2021

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Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines

Applied sciences, 2021-06, Vol.11 (11), p.4912

2021

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Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

Expert systems with applications, 2016-10, Vol.58, p.93-101

2016

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Estimating kinetic constants in the Michaelis–Menten model from one enzymatic assay using Approximate Bayesian Computation

FEBS letters, 2019-10, Vol.593 (19), p.2742-2750

2019

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The Effects of Learning in Morphologically Evolving Robot Systems

Frontiers in robotics and AI, 2022-05, Vol.9, p.797393-797393

2022

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Deep learning for white cabbage seedling prediction

Computers and electronics in agriculture, 2021-05, Vol.184, p.106059, Article 106059

2021

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M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models

Bioinformatics (Oxford, England), 2021-09, Vol.37 (17), p.2785-2786

2021

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Boosted SVM with active learning strategy for imbalanced data

Soft computing (Berlin, Germany), 2015-12, Vol.19 (12), p.3357-3368

2015

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Learning Informative Features from Restricted Boltzmann Machines

Neural processing letters, 2016-12, Vol.44 (3), p.735-750

Tomczak, Jakub M.

2016

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RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique

Intelligent Information and Database Systems, 2015, p.377-386

2015

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Learning Invariant Features Using Subspace Restricted Boltzmann Machine

Neural processing letters, 2017-02, Vol.45 (1), p.173-182

2017

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Articulated tracking with manifold regularized particle filter

Machine vision and applications, 2016-02, Vol.27 (2), p.275-286

2016

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Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines

Neural processing letters, 2019-10, Vol.50 (2), p.1401-1419

2019

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Helix-loop-helix peptide foldamers and their use in the construction of hydrolase mimetics

Bioorganic chemistry, 2018-12, Vol.81, p.356-361

2018

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Decision rules extraction from data stream in the presence of changing context for diabetes treatment

Knowledge and information systems, 2013-03, Vol.34 (3), p.521-546

2013

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Continuous Kendall Shape Variational Autoencoders

Geometric Science of Information, 2023, Vol.14071, p.73-81

2023

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Learning Data Representations with Joint Diffusion Models

Machine Learning and Knowledge Discovery in Databases: Research Track, 2023, Vol.14170, p.543-559

2023

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Deep Generative Modeling

Deep Generative Modeling

Identification of ebselen and its analogues as potent covalent inhibitors of papain-like protease from SARS-CoV-2

Interaction prediction in structure-based virtual screening using deep learning

Classification Restricted Boltzmann Machine for comprehensible credit scoring model

Self-Supervised Variational Auto-Encoders

GEM-Based Metabolic Profiling for Human Bone Osteosarcoma under Different Glucose and Glutamine Availability

Probabilistic combination of classification rules and its application to medical diagnosis

Approximate Bayesian Computation for Discrete Spaces

Deep Learning and Transfer Learning for Automatic Cell Counting in Microscope Images of Human Cancer Cell Lines

Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

Estimating kinetic constants in the Michaelis–Menten model from one enzymatic assay using Approximate Bayesian Computation

The Effects of Learning in Morphologically Evolving Robot Systems

Deep learning for white cabbage seedling prediction

M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models

Boosted SVM with active learning strategy for imbalanced data

Learning Informative Features from Restricted Boltzmann Machines

RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique

Learning Invariant Features Using Subspace Restricted Boltzmann Machine

Articulated tracking with manifold regularized particle filter

Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines

Helix-loop-helix peptide foldamers and their use in the construction of hydrolase mimetics

Decision rules extraction from data stream in the presence of changing context for diabetes treatment

Continuous Kendall Shape Variational Autoencoders

Learning Data Representations with Joint Diffusion Models

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