Matias Valdenegro-Toro

102 papers A 2B 3C 2Journal 71Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Confusion Detection from Facial Expressions in Elderly-Robot Interactions: Why Is It Difficult? HRI Companion Paul Vogt, Yara Bikowski, Matias Valdenegro-Toro
2026	C	`conf`	Explanation Uncertainty in Tabular Data Models. ICPRAM Yingsi Gao, Ömer Tarik Özyilmaz, Matias Valdenegro-Toro
2026	J	`jnl`	The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs. CoRR Merlijn Quincent Mulder, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Ivo Pascal de Jong
2025	J	`jnl`	A neuromorphic approach to obstacle avoidance in robot manipulation. Int. J. Robotics Res. Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz, Paul G. Plöger
2025	—	`conf`	Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning. VISIGRAPP (2): VISAPP Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich
2025	—	`conf`	Can Bayesian Neural Networks Explicitly Model Input Uncertainty? VISIGRAPP (3): VISAPP Matias Valdenegro-Toro, Marco Zullich
2025	J	`jnl`	Can Bayesian Neural Networks Explicitly Model Input Uncertainty? CoRR Matias Valdenegro-Toro, Marco Zullich
2025	J	`jnl`	Confidence Calibration in Large Language Model-Based Entity Matching. CoRR Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers, Gineke A. ten Holt, Tsegaye Misikir Tashu, Matias Valdenegro-Toro
2025	—	`conf`	Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques. COLING Workshops Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro
2025	A	`conf`	Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction. ECAI Miro Miranda, Marcela Charfuelan, Matias Valdenegro-Toro, Andreas Dengel
2025	J	`jnl`	Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction. CoRR Miro Miranda, Marcela Charfuelan, Matias Valdenegro-Toro, Andreas Dengel
2025	J	`jnl`	Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models. CoRR Mirko Borszukovszki, Ivo Pascal de Jong, Matias Valdenegro-Toro
2025	C	`conf`	Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting. EvoMUSART Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich
2025	J	`jnl`	Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting. CoRR Josh Bruegger, Diana Ioana Catana, Vanja Macovaz, Matias Valdenegro-Toro, Matthia Sabatelli, Marco Zullich
2025	J	`jnl`	Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty. CoRR Michal Tesnar, Bilal Wehbe, Matias Valdenegro-Toro
2025	J	`jnl`	NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty. CoRR Leonidas Zotos, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Malvina Nissim, Hedderik van Rijn
2025	A	`conf`	Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning. INTERSPEECH Ömer Tarik Özyilmaz, Matt Coler, Matias Valdenegro-Toro
2025	J	`jnl`	Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning. CoRR Ömer Tarik Özyilmaz, Matt Coler, Matias Valdenegro-Toro
2025	J	`jnl`	The Marine Debris Forward-Looking Sonar Datasets. CoRR Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh, Bilal Wehbe, Yvan Petillot
2025	—	`conf`	Uncertainty Estimation for Super-Resolution Using ESRGAN. VISIGRAPP (2): VISAPP Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro
2025	—	`conf`	Uncertainty Quantification for Gradient-based Explanations in Neural Networks. CVPR Workshops Mihir Mulye, Matias Valdenegro-Toro
2025	—	`conf`	Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. MLSP Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2025	J	`jnl`	Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning. CoRR Joris Suurmeijer, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2025	J	`jnl`	Uncertainty in Semantic Language Modeling with PIXELS. CoRR Stefania Radu, Marco Zullich, Matias Valdenegro-Toro
2024	J	`jnl`	A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation. CoRR Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz, Paul G. Plöger
2024	J	`jnl`	Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning. CoRR Eric Brouwer, Jan Erik van Woerden, Gertjan J. Burghouts, Matias Valdenegro-Toro, Marco Zullich
2024	B	`conf`	Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks. ESANN Jasper Wilfling, Matias Valdenegro-Toro, Marco Zullich
2024	J	`jnl`	Forecasting Smog Clouds With Deep Learning. CoRR Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro
2024	J	`jnl`	How disentangled are your classification uncertainties? CoRR Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
2024	J	`jnl`	Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation. CoRR Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro
2024	J	`jnl`	Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models. CoRR Tobias Groot, Matias Valdenegro-Toro
2024	—	`conf`	Sanity Checks for Explanation Uncertainty. ECCV Workshops (17) Matias Valdenegro-Toro, Mihir Mulye
2024	J	`jnl`	Sanity Checks for Explanation Uncertainty. CoRR Matias Valdenegro-Toro, Mihir Mulye
2024	J	`jnl`	Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data. CoRR Mariela De Lucas Alvarez, Jichen Guo, Raúl Domínguez, Matias Valdenegro-Toro
2024	J	`jnl`	The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act. CoRR Matias Valdenegro-Toro, Radina Stoykova
2024	J	`jnl`	Transferring BCI models from calibration to control: Observing shifts in EEG features. CoRR Ivo Pascal de Jong, Lüke Luna van den Wittenboer, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2024	J	`jnl`	Uncertainty Estimation for Super-Resolution using ESRGAN. CoRR Maniraj Sai Adapa, Marco Zullich, Matias Valdenegro-Toro
2024	J	`jnl`	Uncertainty Quantification for Gradient-based Explanations in Neural Networks. CoRR Mihir Mulye, Matias Valdenegro-Toro
2024	J	`jnl`	Uncertainty Quantification for cross-subject Motor Imagery classification. CoRR Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea
2024	J	`jnl`	Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich
2023	J	`jnl`	ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages. CoRR Martino Pelucchi, Matias Valdenegro-Toro
2023	—	`conf`	DExT: Detector Explanation Toolkit. xAI (2) Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2023	—	`conf`	Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro
2023	—	`conf`	Sanity Checks for Saliency Methods Explaining Object Detectors. xAI (1) Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2023	J	`jnl`	Sanity Checks for Saliency Methods Explaining Object Detectors. CoRR Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
2023	—	`conf`	Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks. ICCV (Workshops) Matias Valdenegro-Toro
2023	—	`conf`	The VVAD-LRS3 Dataset for Visual Voice Activity Detection. VISIGRAPP (2: HUCAPP) Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
2023	J	`jnl`	Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. CoRR Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro
2022	J	`jnl`	A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. CoRR Lokesh Veeramacheneni, Matias Valdenegro-Toro
2022	—	`conf`	A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CVPR Workshops Matias Valdenegro-Toro, Daniel Saromo Mori
2022	J	`jnl`	A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CoRR Matias Valdenegro-Toro, Daniel Saromo
2022	J	`jnl`	Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression. CoRR Levente Foldesi, Matias Valdenegro-Toro
2022	J	`jnl`	DExT: Detector Explanation Toolkit. CoRR Deepan Chakravarthi Padmanabhan, Matias Valdenegro-Toro
2022	J	`jnl`	Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models. CoRR Kumud Lakara, Matias Valdenegro-Toro
2022	—	`conf`	Machine Learning Students Overfit to Overfitting. Teaching ML Matias Valdenegro-Toro, Matthia Sabatelli
2022	J	`jnl`	Machine Learning Students Overfit to Overfitting. CoRR Matias Valdenegro-Toro, Matthia Sabatelli
2022	—	`conf`	Self-supervised Learning for Sonar Image Classification. CVPR Workshops Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
2022	J	`jnl`	Self-supervised Learning for Sonar Image Classification. CoRR Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
2021	J	`jnl`	Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR Aaqib Parvez Mohammed, Matias Valdenegro-Toro
2021	J	`jnl`	Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. CoRR Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro
2021	J	`jnl`	Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings. CoRR Matias Valdenegro-Toro
2021	J	`jnl`	Feature Disentanglement of Robot Trajectories. CoRR Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle
2021	J	`jnl`	Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. CoRR Arka Mallick, Paul Plöger, Matias Valdenegro-Toro
2021	—	`conf`	I Find Your Lack of Uncertainty in Computer Vision Disturbing. CVPR Workshops Matias Valdenegro-Toro
2021	J	`jnl`	I Find Your Lack of Uncertainty in Computer Vision Disturbing. CoRR Matias Valdenegro-Toro
2021	J	`jnl`	Pre-trained Models for Sonar Images. CoRR Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe
2021	—	`conf`	Teaching Uncertainty Quantification in Machine Learning through Use Cases. Teaching ML Matias Valdenegro-Toro
2021	J	`jnl`	Teaching Uncertainty Quantification in Machine Learning through Use Cases. CoRR Matias Valdenegro-Toro
2021	—	`conf`	The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. ICCVW Deepak Singh, Matias Valdenegro-Toro
2021	J	`jnl`	The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. CoRR Deepak Singh, Matias Valdenegro-Toro
2021	J	`jnl`	The VVAD-LRS3 Dataset for Visual Voice Activity Detection. CoRR Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
2020	J	`jnl`	Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? CoRR Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro
2020	J	`jnl`	Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning. CoRR Lauren Michelle Pfeifer, Matias Valdenegro-Toro
2020	J	`jnl`	Black-Box Optimization of Object Detector Scales. CoRR Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
2020	J	`jnl`	Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines? CoRR Aaqib Parvez Mohammed, Matias Valdenegro-Toro
2020	J	`jnl`	Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds. CoRR Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro
2020	J	`jnl`	Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks! CoRR Maryam Matin, Matias Valdenegro-Toro
2020	J	`jnl`	Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo. Soft Comput. Sergio Hernández, Diego Vergara, Matias Valdenegro-Toro, Felipe Jorquera
2020	J	`jnl`	Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation. CoRR Akshatha Kamath, Dwaraknath Gnaneshwar, Matias Valdenegro-Toro
2020	J	`jnl`	Perception for Autonomous Systems (PAZ). CoRR Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner
2020	J	`jnl`	Unsupervised Difficulty Estimation with Action Scores. CoRR Octavio Arriaga, Matias Valdenegro-Toro
2019	J	`jnl`	Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. CoRR Nour Soufi, Matias Valdenegro-Toro
2019	J	`jnl`	Deep Neural Networks for Marine Debris Detection in Sonar Images. CoRR Matias Valdenegro-Toro
2019	J	`jnl`	Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification. CoRR Matias Valdenegro-Toro
2019	—	`—`	Deep neural networks for marine debris detection in sonar images. Matias Valdenegro-Toro
2019	J	`jnl`	Implementing Noise with Hash functions for Graphics Processing Units. CoRR Matias Valdenegro-Toro, Hector Pincheira
2019	—	`conf`	Learning Objectness from Sonar Images for Class-Independent Object Detection. ECMR Matias Valdenegro-Toro
2019	J	`jnl`	Learning Objectness from Sonar Images for Class-Independent Object Detection. CoRR Matias Valdenegro-Toro
2019	B	`conf`	Real-time Convolutional Neural Networks for emotion and gender classification. ESANN Matias Valdenegro-Toro, Octavio Arriaga, Paul Plöger
2019	J	`jnl`	Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. CoRR 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
2018	J	`jnl`	Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. CoRR Samy Nascimento, Matias Valdenegro-Toro
2018	J	`jnl`	Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo. CoRR Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro, Felipe Jorquera
2017	J	`jnl`	Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition. CoRR Matias Valdenegro-Toro
2017	J	`jnl`	Image Captioning and Classification of Dangerous Situations. CoRR Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro
2017	J	`jnl`	Improving Sonar Image Patch Matching via Deep Learning. CoRR Matias Valdenegro-Toro
2017	—	`conf`	Improving sonar image patch matching via deep learning. ECMR Matias Valdenegro-Toro
2017	—	`conf`	Object classification with convolution neural network based on the time-frequency representation of their echo. MLSP Mariia Dmitrieva, Matias Valdenegro-Toro, Keith E. Brown, Gary Heald, David M. Lane
2017	J	`jnl`	Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. CoRR Matias Valdenegro-Toro
2017	J	`jnl`	Real-time Convolutional Neural Networks for Emotion and Gender Classification. CoRR Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger
2017	B	`conf`	Real-time convolutional networks for sonar image classification in low-power embedded systems. ESANN Matias Valdenegro-Toro
2017	J	`jnl`	Real-time convolutional networks for sonar image classification in low-power embedded systems. CoRR Matias Valdenegro-Toro
2016	—	`conf`	Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. ANNPR Matias Valdenegro-Toro