Jesper Tegnér

Orcid: 0000-0002-9568-5588

According to our database1, Jesper Tegnér authored at least 84 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Assembly Theory Reduced to Shannon Entropy and Rendered Redundant by Naive Statistical Algorithms.
CoRR, 2024

T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction.
CoRR, 2024

Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution.
CoRR, 2024

2023
Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers.
Nat. Mac. Intell., December, 2023

LIBRA: an adaptative integrative tool for paired single-cell multi-omics data.
Quant. Biol., September, 2023

Translating single-cell genomics into cell types.
Nat. Mac. Intell., January, 2023

The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence.
CoRR, 2023

A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results.
Frontiers Comput. Neurosci., 2022

Non-local Attention Improves Description Generation for Retinal Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes.
Bioinform., 2021

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

VLG-Net: Video-Language Graph Matching Network for Video Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Algorithmic Information Dynamics.
Scholarpedia, 2020

Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.
Frontiers Artif. Intell., 2020

Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Evolving Neural Networks through a Reverse Encoding Tree.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.
PLoS Comput. Biol., 2019

Causal deconvolution by algorithmic generative models.
Nat. Mach. Intell., 2019

The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy.
Entropy, 2019

Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces.
CoRR, 2019

Algorithmic Information Dynamics of Emergent, Persistent, and Colliding Particles in the Game of Life.
Proceedings of the From Parallel to Emergent Computing, 1st Edition, 2019

2018
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks.
Parallel Process. Lett., 2018

A Review of Graph and Network Complexity from an Algorithmic Information Perspective.
Entropy, 2018

Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations.
Entropy, 2018

A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity.
Entropy, 2018

Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning.
CoRR, 2018

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
CoRR, 2018

Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics.
CoRR, 2018

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases.
CoRR, 2018

An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms.
CoRR, 2018

Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs.
CoRR, 2018

Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism.
CoRR, 2018

Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life.
CoRR, 2018

Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss.
CoRR, 2018

Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

Synthesizing New Retinal Symptom Images by Multiple Generative Models.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017
Dynamics and heterogeneity of brain damage in multiple sclerosis.
PLoS Comput. Biol., 2017

SCENERY: a web application for (causal) network reconstruction from cytometry data.
Nucleic Acids Res., 2017

An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems.
CoRR, 2017

HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation.
Bioinform., 2017

2016
Quantifying loss of information in network-based dimensionality reduction techniques.
J. Complex Networks, 2016

From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration.
BMC Bioinform., 2016

Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR.
Briefings Bioinform., 2016

2015
Causality, Programmability and Information Biology.
CoRR, 2015

Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results.
CoRR, 2015

Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks.
CoRR, 2015

The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition.
CoRR, 2015

Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
STATegra EMS: an Experiment Management System for complex next-generation omics experiments.
BMC Syst. Biol., 2014

Data integration in the era of omics: current and future challenges.
BMC Syst. Biol., 2014

2013
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.
Bioinform., 2013

Testing Biological Models for Non-linear Sensitivity with a Programmability Test.
Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

Algorithmic complexity of motifs clusters superfamilies of networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle.
BMC Syst. Biol., 2011

ParkDB: a Parkinson's disease gene expression database.
Database J. Biol. Databases Curation, 2011

2009
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
J. Mach. Learn. Res., 2009

Computational disease modeling - fact or fiction?
BMC Syst. Biol., 2009

On reliable discovery of molecular signatures.
BMC Bioinform., 2009

2008
Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus.
PLoS Comput. Biol., 2008

Networks in Biology - From Identification, Analysis to Interpretation.
Proceedings of the Graph Drawing, 16th International Symposium, 2008

2007
Stronger Synaptic Connectivity as a Mechanism behind Development of Working Memory-related Brain Activity during Childhood.
J. Cogn. Neurosci., 2007

Consistent Feature Selection for Pattern Recognition in Polynomial Time.
J. Mach. Learn. Res., 2007

Towards scalable and data efficient learning of Markov boundaries.
Int. J. Approx. Reason., 2007

Detecting multivariate differentially expressed genes.
BMC Bioinform., 2007

Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task.
Biol. Cybern., 2007

2006
Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations.
BMC Bioinform., 2006

Identifying the Relevant Nodes Without Learning the Model.
Proceedings of the UAI '06, 2006

Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Evaluating Feature Selection for SVMs in High Dimensions.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Learning dynamic Bayesian network models via cross-validation.
Pattern Recognit. Lett., 2005

Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Growing Bayesian network models of gene networks from seed genes.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004
Modeling complex cellular networks - robust switching in the cell cycle ensures a piecewise linear reduction of the regulatory network.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2002
An adaptive spike-timing-dependent plasticity rule.
Neurocomputing, 2002

The dynamical stability of reverberatory neural circuits.
Biol. Cybern., 2002

Spike-timing-dependent plasticity: common themes and divergent vistas.
Biol. Cybern., 2002

2001
Why Neuronal Dynamics Should Control Synaptic Learning Rules.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1999
The synaptic NMDA component desynchronizes neural bursters.
Neurocomputing, 1999

Control of burst proportion and frequency range by drive-dependent modulation of adaptation.
Neurocomputing, 1999

1998
Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level.
J. Comput. Neurosci., 1998

Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator.
Biol. Cybern., 1998


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