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Entropy (Basel, Switzerland)
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March 28, 2025
Deep Generative Modeling: From Probabilistic Framework to Generative AI
Jakub M Tomczak
Entropy (Basel, Switzerland)
|
July 2, 2021
Self-Supervised Variational Auto-Encoders
Ioannis Gatopoulos, Jakub M Tomczak
FEBS Letters
|
July 9, 2019
Estimating kinetic constants in the Michaelis-Menten model from one enzymatic assay using Approximate Bayesian Computation
Jakub M Tomczak, Ewelina Węglarz-Tomczak
Entropy (Basel, Switzerland)
|
April 3, 2021
Approximate Bayesian Computation for Discrete Spaces
Ilze A Auzina, Jakub M Tomczak
Bioinformatics (Oxford, England)
|
February 1, 2021
M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models
Ewelina Weglarz-Tomczak, Jakub M Tomczak, Stanley Brul
International Journal of Molecular Sciences
|
February 5, 2021
GEM-Based Metabolic Profiling for Human Bone Osteosarcoma under Different Glucose and Glutamine Availability
Ewelina Weglarz-Tomczak, Demi J Rijlaarsdam, Jakub M Tomczak, et al.
Frontiers in Robotics and AI
|
June 17, 2022
The Effects of Learning in Morphologically Evolving Robot Systems
Jie Luo, Aart C Stuurman, Jakub M Tomczak, et al.
Computers in Biology and Medicine
|
September 25, 2017
Interaction prediction in structure-based virtual screening using deep learning
Adam Gonczarek, Jakub M Tomczak, Szymon Zaręba, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
August 24, 2025
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare
Joanna Kaleta, Paweł Skierś, Jan Dubiński, et al.
Scientific Reports
|
February 12, 2021
Identification of ebselen and its analogues as potent covalent inhibitors of papain-like protease from SARS-CoV-2
Ewelina Weglarz-Tomczak, Jakub M Tomczak, Michał Talma, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Entropy (Basel, Switzerland)
|
March 28, 2025
Deep Generative Modeling: From Probabilistic Framework to Generative AI
Jakub M Tomczak
Entropy (Basel, Switzerland)
|
July 2, 2021
Self-Supervised Variational Auto-Encoders
Ioannis Gatopoulos, Jakub M Tomczak
FEBS Letters
|
July 9, 2019
Estimating kinetic constants in the Michaelis-Menten model from one enzymatic assay using Approximate Bayesian Computation
Jakub M Tomczak, Ewelina Węglarz-Tomczak
Entropy (Basel, Switzerland)
|
April 3, 2021
Approximate Bayesian Computation for Discrete Spaces
Ilze A Auzina, Jakub M Tomczak
Bioinformatics (Oxford, England)
|
February 1, 2021
M2R: a Python add-on to cobrapy for modifying human genome-scale metabolic reconstruction using the gut microbiota models
Ewelina Weglarz-Tomczak, Jakub M Tomczak, Stanley Brul
International Journal of Molecular Sciences
|
February 5, 2021
GEM-Based Metabolic Profiling for Human Bone Osteosarcoma under Different Glucose and Glutamine Availability
Ewelina Weglarz-Tomczak, Demi J Rijlaarsdam, Jakub M Tomczak, et al.
Frontiers in Robotics and AI
|
June 17, 2022
The Effects of Learning in Morphologically Evolving Robot Systems
Jie Luo, Aart C Stuurman, Jakub M Tomczak, et al.
Computers in Biology and Medicine
|
September 25, 2017
Interaction prediction in structure-based virtual screening using deep learning
Adam Gonczarek, Jakub M Tomczak, Szymon Zaręba, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|
August 24, 2025
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare
Joanna Kaleta, Paweł Skierś, Jan Dubiński, et al.
Scientific Reports
|
February 12, 2021
Identification of ebselen and its analogues as potent covalent inhibitors of papain-like protease from SARS-CoV-2
Ewelina Weglarz-Tomczak, Jakub M Tomczak, Michał Talma, et al.
Page
of 2