Jesper Tegnér | DeepAI

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Featured Co-authors

Pin-Yu Chen
183 publications
Bernard Ghanem
120 publications
Chao-Han Huck Yang
46 publications
Hector Zenil
37 publications
Marcel Worring
37 publications
Jose M. Peña
33 publications
Kang Wang
17 publications
Fangyu Liu
16 publications
Jia-Hong Huang
15 publications
Mengmeng Xu
13 publications
Narsis A. Kiani
11 publications

∙ 11/19/2020

VLG-Net: Video-Language Graph Matching Network for Video Grounding

Grounding language queries in videos aims at identifying the time interv...

0 Sisi Qu, et al. ∙

∙ 11/01/2020

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation

In this work, we propose an AI-based method that intends to improve the ...

0 Jia-Hong Huang, et al. ∙

∙ 10/07/2019

Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces

We show how complexity theory can be introduced in machine learning to h...

35 Santiago Hernández-Orozco, et al. ∙

∙ 02/11/2019

Synthesizing New Retinal Symptom Images by Multiple Generative Models

Age-Related Macular Degeneration (AMD) is an asymptomatic retinal diseas...

22 Yi-Chieh Liu, et al. ∙

∙ 11/14/2018

Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning

Networks are fundamental building blocks for representing data, and comp...

28 Rise Ooi, et al. ∙

∙ 08/16/2018

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

Automatic clinical diagnosis of retinal diseases has emerged as a promis...

10 C. -H. Huck Yang, et al. ∙

∙ 07/09/2018

Learning Functions in Large Networks requires Modularity and produces Multi-Agent Dynamics

Networks are abundant in biological systems. Small sized over-represente...

0 C. -H. Huck Yang, et al. ∙

∙ 06/17/2018

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

Automatic clinical diagnosis of retinal diseases has emerged as a promis...

0 C. -H. Huck Yang, et al. ∙

∙ 05/18/2018

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

Reprogramming a generative mechanism to produce a different object is as...

0 Hector Zenil, et al. ∙

∙ 02/24/2018

Symmetry and Algorithmic Complexity of Polyominoes and Polyhedral Graphs

We introduce a definition of algorithmic symmetry able to capture essent...

0 Hector Zenil, et al. ∙

∙ 02/18/2018

Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism

To extract and learn representations leading to generative mechanisms fr...

0 Hector Zenil, et al. ∙

∙ 02/18/2018

Algorithmic Information Dynamics of Persistent Patterns and Colliding Particles in the Game of Life

We demonstrate the way to apply and exploit the concept of algorithmic i...

0 Hector Zenil, et al. ∙

∙ 02/16/2018

Algorithmic Complexity and Reprogrammability of Chemical Structure Networks

Here we address the challenge of profiling causal properties and trackin...

0 Hector Zenil, et al. ∙

∙ 02/16/2018

Parameter-free Network Sparsification and Data Reduction by Minimal Algorithmic Information Loss

The study of large and complex datasets, or big data, organized as netwo...

0 Hector Zenil, et al. ∙

∙ 08/24/2015

Causality, Information and Biological Computation: An algorithmic software approach to life, disease and the immune system

Biology has taken strong steps towards becoming a computer science aimin...

0 Hector Zenil, et al. ∙

∙ 06/27/2012

Identifying the Relevant Nodes Without Learning the Model

We propose a method to identify all the nodes that are relevant to compu...

0 Jose M. Peña, et al. ∙

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