Jesper Tegnér

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 45

Top Topics

Principle Of Maximum Entropy

Reverse Engineer

Regulatory Networks

Chronic Obstructive Pulmonary Disease

Top Venues

BMC Syst. Biol.

Publications

Abdulrahman Ibraheem, Narsis A. Kiani, Jesper Tegnér
T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction. CoRR (2024)
Felipe S. Abrahão, Santiago Hernández-Orozco, Narsis A. Kiani, Jesper Tegnér, Hector Zenil
Assembly Theory is an approximation to algorithmic complexity based on LZ compression that does not explain selection or evolution. CoRR (2024)
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition. EMNLP (2023)
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Sumeer Ahmad Khan, Alberto Maillo, Vincenzo Lagani, Robert Lehmann, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér
Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers. Nat. Mac. Intell. 5 (12) (2023)
Xabier Martinez-de-morentin, Sumeer Ahmad Khan, Robert Lehmann, Sally Sisi Qu, Alberto Maillo, Narsis A. Kiani, Felipe Prósper, Jesper Tegnér, David Gomez-Cabrero
LIBRA: an adaptative integrative tool for paired single-cell multi-omics data. Quant. Biol. 11 (3) (2023)
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnér, Marcel Worring
Non-local Attention Improves Description Generation for Retinal Images. WACV (2022)
Hector Zenil, James A. R. Marshall, Jesper Tegnér
Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental results. Frontiers Comput. Neurosci. 16 (2022)
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. WACV (2021)
Wang Liu-Wei, Senay Kafkas, Jun Chen, Nicholas J. Dimonaco, Jesper Tegnér, Robert Hoehndorf
DeepViral: prediction of novel virus-host interactions from protein sequences and infectious disease phenotypes. Bioinform. 37 (17) (2021)
Mattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem
VLG-Net: Video-Language Graph Matching Network for Video Grounding. ICCVW (2021)
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnér, Marcel Worring
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation. CoRR (2020)
Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér
Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces. Frontiers Artif. Intell. 3 (2020)
Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. ICASSP (2020)
Hector Zenil, Narsis Aftab Kiani, Felipe S. Abrahão, Jesper Tegnér
Algorithmic Information Dynamics. Scholarpedia 15 (7) (2020)
Sally Sisi Qu, Mattia Soldan, Mengmeng Xu, Jesper Tegnér, Bernard Ghanem
VLG-Net: Video-Language Graph Matching Network for Video Grounding. CoRR (2020)
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yichang James Tsai, Jesper Tegnér
Synthesizing New Retinal Symptom Images by Multiple Generative Models. CoRR (2019)
Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. CoRR (2019)
Camden Jansen, Ricardo N. Ramirez, Nicole C. El-Ali, David Gomez-Cabrero, Jesper Tegnér, Matthias Merkenschlager, Ana Conesa, Ali Mortazavi
Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps. PLoS Comput. Biol. 15 (11) (2019)
Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis Aftab Kiani, Jesper Tegnér
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces. CoRR (2019)
Hector Zenil, Narsis Aftab Kiani, Allan A. Zea, Jesper Tegnér
Causal deconvolution by algorithmic generative models. Nat. Mach. Intell. 1 (1) (2019)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum Entropy. Entropy 21 (6) (2019)
Chao-Han Huck Yang, Rise Ooi, Tom Hiscock, Víctor M. Eguíluz, Jesper Tegnér
Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics. CoRR (2018)
Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning. CoRR (2018)
Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. Parallel Process. Lett. 28 (1) (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism. CoRR (2018)
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Yi-Chieh Liu, I-Hung Lin, Jesper Tegnér
Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. CoRR (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life. CoRR (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss. CoRR (2018)
Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnér
Auto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model. ACCV Workshops (2018)
Hector Zenil, Narsis Aftab Kiani, Ming-Mei Shang, Jesper Tegnér
Algorithmic Complexity and Reprogrammability of Chemical Structure Networks. CoRR (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs. CoRR (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
An Algorithmic Refinement of Maxent Induces a Thermodynamic-like Behaviour in the Reprogrammability of Generative Mechanisms. CoRR (2018)
Chao-Han Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin, Jesper Tegnér
A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases. CoRR (2018)
Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnér
Synthesizing New Retinal Symptom Images by Multiple Generative Models. ACCV Workshops (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations. Entropy 20 (7) (2018)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
A Review of Graph and Network Complexity from an Algorithmic Information Perspective. Entropy 20 (8) (2018)
Hector Zenil, Santiago Hernández-Orozco, Narsis Aftab Kiani, Fernando Soler-Toscano, Antonio Rueda-Toicen, Jesper Tegnér
A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity. Entropy 20 (8) (2018)
Yue Deng, Hector Zenil, Jesper Tegnér, Narsis Aftab Kiani
HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiation. Bioinform. 33 (24) (2017)
Giorgos Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Elias, Jesper Tegnér, Ioannis Tsamardinos
SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Res. 45 (Webserver-Issue) (2017)
Hector Zenil, Narsis Aftab Kiani, Francesco Marabita, Yue Deng, Szabolcs Elias, Angelika Schmidt, Gordon Ball, Jesper Tegnér
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems. CoRR (2017)
Ekaterina Kotelnikova, Narsis Aftab Kiani, Elena Abad, Elena H. Martinez-Lapiscina, Magí Andorrà, Irati Zubizarreta, Irene Pulido-Valdeolivas, Inna Pertsovskaya, Leonidas G. Alexopoulos, Tomas Olsson, Roland Martin, Friedemann Paul, Jesper Tegnér, Jordi García-Ojalvo, Pablo Villoslada
Dynamics and heterogeneity of brain damage in multiple sclerosis. PLoS Comput. Biol. 13 (10) (2017)
Francesco Marabita, Paola de Candia, Anna Torri, Jesper Tegnér, Sergio Abrignani, Riccardo L. Rossi
Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR. Briefings Bioinform. 17 (2) (2016)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Quantifying loss of information in network-based dimensionality reduction techniques. J. Complex Networks 4 (3) (2016)
David Gomez-Cabrero, Jörg Menche, Claudia Vargas, Isaac Cano, Dieter Maier, Albert-László Barabási, Jesper Tegnér, Josep Roca
From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration. BMC Bioinform. 17 (1) (2016)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Quantifying Loss of Information in Network-based Dimensionality Reduction Techniques. CoRR (2015)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. CoRR (2015)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Numerical Investigation of Graph Spectra and Information Interpretability of Eigenvalues. IWBBIO (2) (2015)
Narsis Aftab Kiani, Hector Zenil, Jakub Olczak, Jesper Tegnér
Evaluating Network Inference Methods in Terms of Their Ability to Preserve the Topology and Complexity of Genetic Networks. CoRR (2015)
Hector Zenil, James A. R. Marshall, Jesper Tegnér
Approximations of Algorithmic and Structural Complexity Validate Cognitive-behavioural Experimental Results. CoRR (2015)
Nicolas Gauvrit, Hector Zenil, Jesper Tegnér
The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition. CoRR (2015)
Héctor Zenil, Angelika Schmidt, Jesper Tegnér
Causality, Programmability and Information Biology. CoRR (2015)
Jakub Olczak, Narsis Aftab Kiani, Hector Zenil, Jesper Tegnér
Topological Evaluation of Methods for Reconstruction of Genetic Regulatory Networks. SITIS (2015)
David Gomez-Cabrero, Imad Abugessaisa, Dieter Maier, Andrew E. Teschendorff, Matthias Merkenschlager, Andreas Gisel, Esteban Ballestar, Erik Bongcam-Rudloff, Ana Conesa, Jesper Tegnér
Data integration in the era of omics: current and future challenges. BMC Syst. Biol. 8 (S-2) (2014)
Rafael Hernández-de-Diego, Noemi Boix-Chova, David Gomez-Cabrero, Jesper Tegnér, Imad Abugessaisa, Ana Conesa
STATegra EMS: an Experiment Management System for complex next-generation omics experiments. BMC Syst. Biol. 8 (S-2) (2014)
Hector Zenil, Gordon Ball, Jesper Tegnér
Testing Biological Models for Non-linear Sensitivity with a Programmability Test. ECAL (2013)
Andrew E. Teschendorff, Francesco Marabita, Matthias Lechner, Thomas E. Bartlett, Jesper Tegnér, David Gomez-Cabrero, Stephan Beck
A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data. Bioinform. 29 (2) (2013)
Hector Zenil, Narsis Aftab Kiani, Jesper Tegnér
Algorithmic complexity of motifs clusters superfamilies of networks. BIBM (2013)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Identifying the Relevant Nodes Without Learning the Model. CoRR (2012)
Olivia Eriksson, Tom Andersson, Yishao Zhou, Jesper Tegnér
Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle. BMC Syst. Biol. 5 (2011)
Cristian Taccioli, Vincenza Maselli, Jesper Tegnér, David Gomez-Cabrero, Gioia Altobelli, Warren Emmett, Francesco Lescai, Stefano Gustincich, Elia Stupka
ParkDB: a Parkinson's disease gene expression database. Database J. Biol. Databases Curation 2011 (2011)
Roland Nilsson, Johan Björkegren, Jesper Tegnér
On reliable discovery of molecular signatures. BMC Bioinform. 10 (2009)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. J. Mach. Learn. Res. 10 (2009)
Jesper Tegnér, Albert Compte, Charles Auffray, Gary An, Gunnar Cedersund, Gilles Clermont, Boris S. Gutkin, Zoltán N. Oltvai, Klaas Enno Stephan, Randy Thomas, Pablo Villoslada
Computational disease modeling - fact or fiction? BMC Syst. Biol. 3 (2009)
Jesper Tegnér
Networks in Biology - From Identification, Analysis to Interpretation. Graph Drawing (2008)
Isaac Shemer, Björn Brinne, Jesper Tegnér, Sten Grillner
Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus. PLoS Comput. Biol. 4 (3) (2008)
Julian Macoveanu, Torkel Klingberg, Jesper Tegnér
Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task. Biol. Cybern. 96 (4) (2007)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Towards scalable and data efficient learning of Markov boundaries. Int. J. Approx. Reason. 45 (2) (2007)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Detecting multivariate differentially expressed genes. BMC Bioinform. 8 (2007)
Fredrik Edin, Julian Macoveanu, Pernille Olesen, Jesper Tegnér, Torkel Klingberg
Stronger Synaptic Connectivity as a Mechanism behind Development of Working Memory-related Brain Activity during Childhood. J. Cogn. Neurosci. 19 (5) (2007)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Consistent Feature Selection for Pattern Recognition in Polynomial Time. J. Mach. Learn. Res. 8 (2007)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Identifying the Relevant Nodes Without Learning the Model. UAI (2006)
José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér
Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity. Probabilistic Graphical Models (2006)
Kristofer Hallén, Johan Björkegren, Jesper Tegnér
Detection of compound mode of action by computational integration of whole-genome measurements and genetic perturbations. BMC Bioinform. 7 (2006)
Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér
Evaluating Feature Selection for SVMs in High Dimensions. ECML (2006)
José M. Peña, Johan Björkegren, Jesper Tegnér
Growing Bayesian network models of gene networks from seed genes. ECCB/JBI (2005)
José M. Peña, Johan Björkegren, Jesper Tegnér
Scalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption. ECSQARU (2005)
José M. Peña, Johan Björkegren, Jesper Tegnér
Learning dynamic Bayesian network models via cross-validation. Pattern Recognit. Lett. 26 (14) (2005)
Olivia Eriksson, Yishao Zhou, Jesper Tegnér
Modeling complex cellular networks - robust switching in the cell cycle ensures a piecewise linear reduction of the regulatory network. CDC (2004)
Jesper Tegnér, Ádám Kepecs
An adaptive spike-timing-dependent plasticity rule. Neurocomputing (2002)
Ádám Kepecs, Mark C. W. van Rossum, Sen Song, Jesper Tegnér
Spike-timing-dependent plasticity: common themes and divergent vistas. Biol. Cybern. 87 (5-6) (2002)
Jesper Tegnér, Albert Compte, Xiao-Jing Wang
The dynamical stability of reverberatory neural circuits. Biol. Cybern. 87 (5-6) (2002)
Jesper Tegnér, Ádám Kepecs
Why Neuronal Dynamics Should Control Synaptic Learning Rules. NIPS (2001)
Jesper Tegnér, Jeanette Hellgren Kotaleski
The synaptic NMDA component desynchronizes neural bursters. Neurocomputing (1999)
Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing (1999)
Jesper Tegnér, Anders Lansner, Sten Grillner
Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. J. Comput. Neurosci. 5 (2) (1998)
M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner
Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. 79 (1) (1998)