Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. - Matias Valdenegro-Toro (ANNPR, 2016)

Improving sonar image patch matching via deep learning. - Matias Valdenegro-Toro (ECMR, 2017)

Real-time convolutional networks for sonar image classification in low-power embedded systems. - Matias Valdenegro-Toro (ESANN, 2017)

Object classification with convolution neural network based on the time-frequency representation of their echo. - Mariia Dmitrieva; Matias Valdenegro-Toro; Keith E. Brown; Gary Heald; David M. Lane (MLSP, 2017)

Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition. - Matias Valdenegro-Toro (CoRR, 2017)

Image Captioning and Classification of Dangerous Situations. - Octavio Arriaga; Paul Plöger; Matias Valdenegro-Toro (CoRR, 2017)

Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo. - Diego Vergara 002; Sergio Hernández; Matias Valdenegro-Toro; Felipe Jorquera (CoRR, 2018)

Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. - Samy Nascimento; Matias Valdenegro-Toro (CoRR, 2018)

Learning Objectness from Sonar Images for Class-Independent Object Detection. - Matias Valdenegro-Toro (ECMR, 2019)

Real-time Convolutional Neural Networks for emotion and gender classification. - Matias Valdenegro-Toro; Octavio Arriaga; Paul Plöger (ESANN, 2019)

Implementing Noise with Hash functions for Graphics Processing Units. - Matias Valdenegro-Toro; Hector Pincheira (CoRR, 2019)

Deep Neural Networks for Marine Debris Detection in Sonar Images. - Matias Valdenegro-Toro (CoRR, 2019)

Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. - Nour Soufi; Matias Valdenegro-Toro (CoRR, 2019)

Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification. - Matias Valdenegro-Toro (CoRR, 2019)

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

Deep neural networks for marine debris detection in sonar images. - Matias Valdenegro-Toro (2019)

Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds. - Swaroop Bhandary K; Nico Hochgeschwender; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro (CoRR, 2020)

Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks! - Maryam Matin; Matias Valdenegro-Toro (CoRR, 2020)

Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation. - Akshatha Kamath; Dwaraknath Gnaneshwar; Matias Valdenegro-Toro (CoRR, 2020)

Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines? - Aaqib Parvez Mohammed; Matias Valdenegro-Toro (CoRR, 2020)

Perception for Autonomous Systems (PAZ). - Octavio Arriaga; Matias Valdenegro-Toro; Mohandass Muthuraja; Sushma Devaramani; Frank Kirchner (CoRR, 2020)

Black-Box Optimization of Object Detector Scales. - Mohandass Muthuraja; Octavio Arriaga; Paul Plöger; Frank Kirchner; Matias Valdenegro-Toro (CoRR, 2020)

Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning. - Lauren Michelle Pfeifer; Matias Valdenegro-Toro (CoRR, 2020)

Unsupervised Difficulty Estimation with Action Scores. - Octavio Arriaga; Matias Valdenegro-Toro (CoRR, 2020)

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? - Matthias Rosynski; Frank Kirchner; Matias Valdenegro-Toro (CoRR, 2020)

Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo. - Sergio Hernández; Diego Vergara 002; Matias Valdenegro-Toro; Felipe Jorquera (Soft Comput., 2020)

I Find Your Lack of Uncertainty in Computer Vision Disturbing. - Matias Valdenegro-Toro (CVPR Workshops, 2021)

The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. - Deepak Singh; Matias Valdenegro-Toro (ICCVW, 2021)

Teaching Uncertainty Quantification in Machine Learning through Use Cases. - Matias Valdenegro-Toro (Teaching ML, 2021)

Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. - Arka Mallick; Paul Plöger; Matias Valdenegro-Toro (CoRR, 2021)

Pre-trained Models for Sonar Images. - Matias Valdenegro-Toro; Alan Preciado-Grijalva; Bilal Wehbe (CoRR, 2021)

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. - Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro (CoRR, 2021)

Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings. - Matias Valdenegro-Toro (CoRR, 2021)

Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning. - Aaqib Parvez Mohammed; Matias Valdenegro-Toro (CoRR, 2021)

Feature Disentanglement of Robot Trajectories. - Matias Valdenegro-Toro; Daniel Harnack; Hendrik Wöhrle (CoRR, 2021)

Self-supervised Learning for Sonar Image Classification. - Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro (CVPR Workshops, 2022)

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. - Matias Valdenegro-Toro; Daniel Saromo Mori (CVPR Workshops, 2022)

Machine Learning Students Overfit to Overfitting. - Matias Valdenegro-Toro; Matthia Sabatelli (Teaching ML, 2022)

Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression. - Levente Foldesi; Matias Valdenegro-Toro (CoRR, 2022)

A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. - Lokesh Veeramacheneni; Matias Valdenegro-Toro (CoRR, 2022)

Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models. - Kumud Lakara; Matias Valdenegro-Toro (CoRR, 2022)

DExT: Detector Explanation Toolkit. - Deepan Chakravarthi Padmanabhan; Matias Valdenegro-Toro (CoRR, 2022)

Difficulty Estimation with Action Scores for Computer Vision Tasks. - Octavio Arriaga; Sebastian Palacio; Matias Valdenegro-Toro (CVPR Workshops, 2023)

The VVAD-LRS3 Dataset for Visual Voice Activity Detection. - Adrian Lubitz; Matias Valdenegro-Toro; Frank Kirchner (VISIGRAPP (2: HUCAPP), 2023)

Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks. - Matias Valdenegro-Toro (ICCV (Workshops), 2023)

DExT: Detector Explanation Toolkit. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (2), 2023)

Sanity Checks for Saliency Methods Explaining Object Detectors. - Deepan Chakravarthi Padmanabhan; Paul G. Plöger; Octavio Arriaga; Matias Valdenegro-Toro (xAI (1), 2023)

ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages. - Martino Pelucchi; Matias Valdenegro-Toro (CoRR, 2023)

Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. - Ivo Pascal de Jong; Andreea Ioana Sburlea; Matias Valdenegro-Toro (CoRR, 2023)

Sanity Checks for Explanation Uncertainty. - Matias Valdenegro-Toro; Mihir Mulye (ECCV Workshops (17), 2024)

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. - Jasper Wilfling; Matias Valdenegro-Toro; Marco Zullich (ESANN, 2024)

Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation. - Tsegaye Misikir Tashu; Eduard-Raul Kontos; Matthia Sabatelli; Matias Valdenegro-Toro (CoRR, 2024)

Uncertainty Quantification for cross-subject Motor Imagery classification. - Prithviraj Manivannan; Ivo Pascal de Jong; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2024)

Transferring BCI models from calibration to control: Observing shifts in EEG features. - Ivo Pascal de Jong; Lüke Luna van den Wittenboer; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2024)

Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models. - Tobias Groot; Matias Valdenegro-Toro (CoRR, 2024)

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. - Matias Valdenegro-Toro; Ivo Pascal de Jong; Marco Zullich (CoRR, 2024)

Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data. - Mariela De Lucas Alvarez; Jichen Guo; Raul Domínguez; Matias Valdenegro-Toro (CoRR, 2024)

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act. - Matias Valdenegro-Toro; Radina Stoykova (CoRR, 2024)

How disentangled are your classification uncertainties? - Ivo Pascal de Jong; Andreea Ioana Sburlea; Matias Valdenegro-Toro (CoRR, 2024)

Forecasting Smog Clouds With Deep Learning. - Valentijn Oldenburg; Juan Cardenas-Cartagena; Matias Valdenegro-Toro (CoRR, 2024)

Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques. - Tsegaye Misikir Tashu; Eduard-Raul Kontos; Matthia Sabatelli; Matias Valdenegro-Toro (COLING Workshops, 2025)

Uncertainty Quantification for Gradient-based Explanations in Neural Networks. - Mihir Mulye; Matias Valdenegro-Toro (CVPR Workshops, 2025)

Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting. - Josh Bruegger; Diana Ioana Catana; Vanja Macovaz; Matias Valdenegro-Toro; Matthia Sabatelli; Marco Zullich (EvoMUSART, 2025)

Uncertainty Estimation for Super-Resolution Using ESRGAN. - Maniraj Sai Adapa; Marco Zullich; Matias Valdenegro-Toro (VISIGRAPP (2): VISAPP, 2025)

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning. - Eric Brouwer; Jan Erik van Woerden; Gertjan J. Burghouts; Matias Valdenegro-Toro; Marco Zullich (VISIGRAPP (2): VISAPP, 2025)

Can Bayesian Neural Networks Explicitly Model Input Uncertainty? - Matias Valdenegro-Toro; Marco Zullich (VISIGRAPP (3): VISAPP, 2025)

A neuromorphic approach to obstacle avoidance in robot manipulation. - Ahmed Faisal Abdelrahman; Matias Valdenegro-Toro; Maren Bennewitz; Paul G. Plöger (Int. J. Robotics Res., 2025)

The Marine Debris Forward-Looking Sonar Datasets. - Matias Valdenegro-Toro; Deepan Chakravarthi Padmanabhan; Deepak Singh; Bilal Wehbe; Yvan Petillot (CoRR, 2025)

Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models. - Mirko Borszukovszki; Ivo Pascal de Jong; Matias Valdenegro-Toro (CoRR, 2025)

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty. - Michal Tesnar; Bilal Wehbe; Matias Valdenegro-Toro (CoRR, 2025)

Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning. - Ömer Tarik Özyilmaz; Matt Coler; Matias Valdenegro-Toro (CoRR, 2025)

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. - Joris Suurmeijer; Ivo Pascal de Jong; Matias Valdenegro-Toro; Andreea Ioana Sburlea (CoRR, 2025)

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty. - Leonidas Zotos; Ivo Pascal de Jong; Matias Valdenegro-Toro; Andreea Ioana Sburlea; Malvina Nissim; Hedderik van Rijn (CoRR, 2025)