Matias Valdenegro-Toro

According to our database1, Matias Valdenegro-Toro authored at least 31 papers between 2016 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
Teaching Uncertainty Quantification in Machine Learning through Use Cases.
CoRR, 2021

The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation.
CoRR, 2021

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study.
CoRR, 2021

Pre-trained Models for Sonar Images.
CoRR, 2021

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty.
CoRR, 2021

I Find Your Lack of Uncertainty in Computer Vision Disturbing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo.
Soft Comput., 2020

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?
CoRR, 2020

Unsupervised Difficulty Estimation with Action Scores.
CoRR, 2020

Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning.
CoRR, 2020

Black-Box Optimization of Object Detector Scales.
CoRR, 2020

Perception for Autonomous Systems (PAZ).
CoRR, 2020

Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?
CoRR, 2020

Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation.
CoRR, 2020

Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks!
CoRR, 2020

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds.
CoRR, 2020

2019
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics.
CoRR, 2019

Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification.
CoRR, 2019

Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition.
CoRR, 2019

Deep Neural Networks for Marine Debris Detection in Sonar Images.
CoRR, 2019

Implementing Noise with Hash functions for Graphics Processing Units.
CoRR, 2019

Real-time Convolutional Neural Networks for emotion and gender classification.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Learning Objectness from Sonar Images for Class-Independent Object Detection.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks.
CoRR, 2018

Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo.
CoRR, 2018

2017
Image Captioning and Classification of Dangerous Situations.
CoRR, 2017

Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition.
CoRR, 2017

Object classification with convolution neural network based on the time-frequency representation of their echo.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Real-time convolutional networks for sonar image classification in low-power embedded systems.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Improving sonar image patch matching via deep learning.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016


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