Matias Valdenegro-Toro

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 70

Top Topics

Image Classification

Reinforcement Learning

Top Venues

Publications

Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR (2024)
Ivo Pascal de Jong, Lüke Luna van den Wittenboer, Matias Valdenegro-Toro, Andreea Ioana Sburlea
Transferring BCI models from calibration to control: Observing shifts in EEG features. CoRR (2024)
Mihir Mulye, Matias Valdenegro-Toro
Uncertainty Quantification for Gradient-based Explanations in Neural Networks. CoRR (2024)
Mariela De Lucas Alvarez, Jichen Guo, Raul Domínguez, Matias Valdenegro-Toro
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data. CoRR (2024)
Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
Uncertainty Quantification for cross-subject Motor Imagery classification. CoRR (2024)
Matias Valdenegro-Toro, Mihir Mulye
Sanity Checks for Explanation Uncertainty. CoRR (2024)
Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation. CoRR (2024)
Tobias Groot, Matias Valdenegro-Toro
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models. CoRR (2024)
Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz, Paul G. Plöger
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation. CoRR (2024)
Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. CoRR (2023)
Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
The VVAD-LRS3 Dataset for Visual Voice Activity Detection. VISIGRAPP (2: HUCAPP) (2023)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
Sanity Checks for Saliency Methods Explaining Object Detectors. CoRR (2023)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
DExT: Detector Explanation Toolkit. xAI (2) (2023)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
Sanity Checks for Saliency Methods Explaining Object Detectors. xAI (1) (2023)
Matias Valdenegro-Toro
Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks. ICCV (Workshops) (2023)
Martino Pelucchi, Matias Valdenegro-Toro
ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages. CoRR (2023)
Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro
Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops (2023)
Lokesh Veeramacheneni, Matias Valdenegro-Toro
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. CoRR (2022)
Levente Foldesi, Matias Valdenegro-Toro
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression. CoRR (2022)
Kumud Lakara, Matias Valdenegro-Toro
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models. CoRR (2022)
Matias Valdenegro-Toro, Matthia Sabatelli
Machine Learning Students Overfit to Overfitting. CoRR (2022)
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
Self-supervised Learning for Sonar Image Classification. CVPR Workshops (2022)
Matias Valdenegro-Toro, Daniel Saromo Mori
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CVPR Workshops (2022)
Matias Valdenegro-Toro, Daniel Saromo
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CoRR (2022)
Matias Valdenegro-Toro, Matthia Sabatelli
Machine Learning Students Overfit to Overfitting. Teaching ML (2022)
Deepan Chakravarthi Padmanabhan, Matias Valdenegro-Toro
DExT: Detector Explanation Toolkit. CoRR (2022)
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
Self-supervised Learning for Sonar Image Classification. CoRR (2022)
Matias Valdenegro-Toro
Teaching Uncertainty Quantification in Machine Learning through Use Cases. CoRR (2021)
Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
The VVAD-LRS3 Dataset for Visual Voice Activity Detection. CoRR (2021)
Matias Valdenegro-Toro
Teaching Uncertainty Quantification in Machine Learning through Use Cases. Teaching ML (2021)
Arka Mallick, Paul Plöger, Matias Valdenegro-Toro
Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. CoRR (2021)
Aaqib Parvez Mohammed, Matias Valdenegro-Toro
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR (2021)
Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle
Feature Disentanglement of Robot Trajectories. CoRR (2021)
Matias Valdenegro-Toro
I Find Your Lack of Uncertainty in Computer Vision Disturbing. CoRR (2021)
Matias Valdenegro-Toro
I Find Your Lack of Uncertainty in Computer Vision Disturbing. CVPR Workshops (2021)
Deepak Singh, Matias Valdenegro-Toro
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. ICCVW (2021)
Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. CoRR (2021)
Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe
Pre-trained Models for Sonar Images. CoRR (2021)
Matias Valdenegro-Toro
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings. CoRR (2021)
Deepak Singh, Matias Valdenegro-Toro
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. CoRR (2021)
Akshatha Kamath, Dwaraknath Gnaneshwar, Matias Valdenegro-Toro
Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation. CoRR (2020)
Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner
Perception for Autonomous Systems (PAZ). CoRR (2020)
Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds. CoRR (2020)
Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? CoRR (2020)
Octavio Arriaga, Matias Valdenegro-Toro
Unsupervised Difficulty Estimation with Action Scores. CoRR (2020)
Sergio Hernández, Diego Vergara, Matias Valdenegro-Toro, Felipe Jorquera
Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo. Soft Comput. 24 (6) (2020)
Aaqib Parvez Mohammed, Matias Valdenegro-Toro
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines? CoRR (2020)
Lauren Michelle Pfeifer, Matias Valdenegro-Toro
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning. CoRR (2020)
Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
Black-Box Optimization of Object Detector Scales. CoRR (2020)
Maryam Matin, Matias Valdenegro-Toro
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks! CoRR (2020)
Matias Valdenegro-Toro
Deep Neural Networks for Marine Debris Detection in Sonar Images. CoRR (2019)
Matias Valdenegro-Toro
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification. CoRR (2019)
Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova, Klemen Istenic, Thomas Guerneve
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. CoRR (2019)
Nour Soufi, Matias Valdenegro-Toro
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. CoRR (2019)
Matias Valdenegro-Toro
Learning Objectness from Sonar Images for Class-Independent Object Detection. ECMR (2019)
Matias Valdenegro-Toro, Octavio Arriaga, Paul Plöger
Real-time Convolutional Neural Networks for emotion and gender classification. ESANN (2019)
Matias Valdenegro-Toro, Hector Pincheira
Implementing Noise with Hash functions for Graphics Processing Units. CoRR (2019)
Matias Valdenegro-Toro
Learning Objectness from Sonar Images for Class-Independent Object Detection. CoRR (2019)
Samy Nascimento, Matias Valdenegro-Toro
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. CoRR (2018)
Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro, Felipe Jorquera
Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo. CoRR (2018)
Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro
Image Captioning and Classification of Dangerous Situations. CoRR (2017)
Matias Valdenegro-Toro
Real-time convolutional networks for sonar image classification in low-power embedded systems. CoRR (2017)
Matias Valdenegro-Toro
Improving Sonar Image Patch Matching via Deep Learning. CoRR (2017)
Matias Valdenegro-Toro
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition. CoRR (2017)
Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger
Real-time Convolutional Neural Networks for Emotion and Gender Classification. CoRR (2017)
Matias Valdenegro-Toro
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. CoRR (2017)
Matias Valdenegro-Toro
Improving sonar image patch matching via deep learning. ECMR (2017)
Mariia Dmitrieva, Matias Valdenegro-Toro, Keith E. Brown, Gary Heald, David M. Lane
Object classification with convolution neural network based on the time-frequency representation of their echo. MLSP (2017)
Matias Valdenegro-Toro
Real-time convolutional networks for sonar image classification in low-power embedded systems. ESANN (2017)
Matias Valdenegro-Toro
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. ANNPR (2016)