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Matias Valdenegro-Toro
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2020 – today
- 2024
- [i55]Tsegaye Misikir Tashu, Eduard-Raul Kontos, Matthia Sabatelli, Matias Valdenegro-Toro:
Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation. CoRR abs/2401.06583 (2024) - [i54]Prithviraj Manivannan, Ivo Pascal de Jong, Matias Valdenegro-Toro, Andreea Ioana Sburlea:
Uncertainty Quantification for cross-subject Motor Imagery classification. CoRR abs/2403.09228 (2024) - [i53]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 abs/2403.15431 (2024) - [i52]Matias Valdenegro-Toro, Mihir Mulye:
Sanity Checks for Explanation Uncertainty. CoRR abs/2403.17212 (2024) - [i51]Mihir Mulye, Matias Valdenegro-Toro:
Uncertainty Quantification for Gradient-based Explanations in Neural Networks. CoRR abs/2403.17224 (2024) - [i50]Ahmed Faisal Abdelrahman, Matias Valdenegro-Toro, Maren Bennewitz, Paul G. Plöger:
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation. CoRR abs/2404.05858 (2024) - [i49]Tobias Groot, Matias Valdenegro-Toro:
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models. CoRR abs/2405.02917 (2024) - [i48]Matias Valdenegro-Toro, Ivo Pascal de Jong, Marco Zullich:
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation. CoRR abs/2406.18787 (2024) - [i47]Mariela De Lucas Alvarez, Jichen Guo, Raul Domínguez, Matias Valdenegro-Toro:
Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data. CoRR abs/2407.03241 (2024) - [i46]Matias Valdenegro-Toro, Radina Stoykova:
The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act. CoRR abs/2408.11249 (2024) - [i45]Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro:
How disentangled are your classification uncertainties? CoRR abs/2408.12175 (2024) - [i44]Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro:
Forecasting Smog Clouds With Deep Learning. CoRR abs/2410.02759 (2024) - 2023
- [c17]Octavio Arriaga, Sebastian Palacio, Matias Valdenegro-Toro:
Difficulty Estimation with Action Scores for Computer Vision Tasks. CVPR Workshops 2023: 245-253 - [c16]Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner
:
The VVAD-LRS3 Dataset for Visual Voice Activity Detection. VISIGRAPP (2: HUCAPP) 2023: 39-46 - [c15]Matias Valdenegro-Toro:
Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks. ICCV (Workshops) 2023: 4121-4129 - [c14]Deepan Chakravarthi Padmanabhan
DExT: Detector Explanation Toolkit. xAI (2) 2023: 433-456 - [c13]Deepan Chakravarthi Padmanabhan
Sanity Checks for Saliency Methods Explaining Object Detectors. xAI (1) 2023: 438-455 - [i43]Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro:
Sanity Checks for Saliency Methods Explaining Object Detectors. CoRR abs/2306.02424 (2023) - [i42]Martino Pelucchi, Matias Valdenegro-Toro:
ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages. CoRR abs/2311.06427 (2023) - [i41]Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-Toro:
Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review. CoRR abs/2312.09454 (2023) - 2022
- [c12]Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida
Self-supervised Learning for Sonar Image Classification. CVPR Workshops 2022: 1498-1507 - [c11]Matias Valdenegro-Toro
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CVPR Workshops 2022: 1508-1516 - [c10]Matias Valdenegro-Toro, Matthia Sabatelli:
Machine Learning Students Overfit to Overfitting. Teaching ML 2022: 46-51 - [i40]Matias Valdenegro-Toro, Daniel Saromo:
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement. CoRR abs/2204.09308 (2022) - [i39]Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro:
Self-supervised Learning for Sonar Image Classification. CoRR abs/2204.09323 (2022) - [i38]Matias Valdenegro-Toro
Machine Learning Students Overfit to Overfitting. CoRR abs/2209.03032 (2022) - [i37]Levente Foldesi, Matias Valdenegro-Toro:
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression. CoRR abs/2211.06233 (2022) - [i36]Lokesh Veeramacheneni, Matias Valdenegro-Toro:
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation. CoRR abs/2211.06241 (2022) - [i35]Kumud Lakara, Matias Valdenegro-Toro:
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models. CoRR abs/2211.06250 (2022) - [i34]Deepan Chakravarthi Padmanabhan, Matias Valdenegro-Toro:
DExT: Detector Explanation Toolkit. CoRR abs/2212.11409 (2022) - 2021
- [c9]Matias Valdenegro-Toro:
I Find Your Lack of Uncertainty in Computer Vision Disturbing. CVPR Workshops 2021: 1263-1272 - [c8]Deepak Singh, Matias Valdenegro-Toro
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. ICCVW 2021: 3734-3742 - [c7]Matias Valdenegro-Toro:
Teaching Uncertainty Quantification in Machine Learning through Use Cases. Teaching ML 2021: 57-61 - [i33]Matias Valdenegro-Toro:
I Find Your Lack of Uncertainty in Computer Vision Disturbing. CoRR abs/2104.08188 (2021) - [i32]Arka Mallick, Paul Plöger, Matias Valdenegro-Toro:
Forward-Looking Sonar Patch Matching: Modern CNNs, Ensembling, and Uncertainty. CoRR abs/2108.01066 (2021) - [i31]Matias Valdenegro-Toro, Alan Preciado-Grijalva, Bilal Wehbe:
Pre-trained Models for Sonar Images. CoRR abs/2108.01111 (2021) - [i30]Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro:
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. CoRR abs/2108.02665 (2021) - [i29]Deepak Singh, Matias Valdenegro-Toro:
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation. CoRR abs/2108.06800 (2021) - [i28]Matias Valdenegro-Toro:
Teaching Uncertainty Quantification in Machine Learning through Use Cases. CoRR abs/2108.08712 (2021) - [i27]Adrian Lubitz, Matias Valdenegro-Toro, Frank Kirchner:
The VVAD-LRS3 Dataset for Visual Voice Activity Detection. CoRR abs/2109.13789 (2021) - [i26]Matias Valdenegro-Toro:
Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings. CoRR abs/2111.09808 (2021) - [i25]Aaqib Parvez Mohammed, Matias Valdenegro-Toro:
Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning. CoRR abs/2112.02694 (2021) - [i24]Matias Valdenegro-Toro, Daniel Harnack, Hendrik Wöhrle:
Feature Disentanglement of Robot Trajectories. CoRR abs/2112.03164 (2021) - 2020
- [j1]Sergio Hernández, Diego Vergara, Matias Valdenegro-Toro, Felipe Jorquera:
Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo. Soft Comput. 24(6): 4307-4322 (2020) - [i23]Swaroop Bhandary K, Nico Hochgeschwender, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro:
Evaluating Uncertainty Estimation Methods on 3D Semantic Segmentation of Point Clouds. CoRR abs/2007.01787 (2020) - [i22]Maryam Matin, Matias Valdenegro-Toro:
Hey Human, If your Facial Emotions are Uncertain, You Should Use Bayesian Neural Networks! CoRR abs/2008.07426 (2020) - [i21]Akshatha Kamath, Dwaraknath Gnaneshwar, Matias Valdenegro-Toro:
Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation. CoRR abs/2010.14019 (2020) - [i20]Aaqib Parvez Mohammed, Matias Valdenegro-Toro:
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines? CoRR abs/2010.14444 (2020) - [i19]Octavio Arriaga, Matias Valdenegro-Toro, Mohandass Muthuraja, Sushma Devaramani, Frank Kirchner:
Perception for Autonomous Systems (PAZ). CoRR abs/2010.14541 (2020) - [i18]Mohandass Muthuraja, Octavio Arriaga, Paul Plöger, Frank Kirchner, Matias Valdenegro-Toro:
Black-Box Optimization of Object Detector Scales. CoRR abs/2010.15823 (2020) - [i17]Lauren Michelle Pfeifer, Matias Valdenegro-Toro:
Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning. CoRR abs/2011.11459 (2020) - [i16]Octavio Arriaga, Matias Valdenegro-Toro:
Unsupervised Difficulty Estimation with Action Scores. CoRR abs/2011.11461 (2020) - [i15]Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro:
Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning? CoRR abs/2012.01281 (2020)
2010 – 2019
- 2019
- [b1]Matias Valdenegro-Toro:
Deep neural networks for marine debris detection in sonar images. Heriot-Watt University, Edinburgh, UK, 2019 - [c6]Matias Valdenegro-Toro:
Learning Objectness from Sonar Images for Class-Independent Object Detection. ECMR 2019: 1-6 - [c5]Matias Valdenegro-Toro, Octavio Arriaga, Paul Plöger:
Real-time Convolutional Neural Networks for emotion and gender classification. ESANN 2019 - [i14]Matias Valdenegro-Toro, Hector Pincheira:
Implementing Noise with Hash functions for Graphics Processing Units. CoRR abs/1903.12270 (2019) - [i13]Matias Valdenegro-Toro:
Deep Neural Networks for Marine Debris Detection in Sonar Images. CoRR abs/1905.05241 (2019) - [i12]Matias Valdenegro-Toro:
Learning Objectness from Sonar Images for Class-Independent Object Detection. CoRR abs/1907.00734 (2019) - [i11]Nour Soufi, Matias Valdenegro-Toro:
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. CoRR abs/1907.12902 (2019) - [i10]Matias Valdenegro-Toro:
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification. CoRR abs/1910.08168 (2019) - [i9]Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. CoRR abs/1910.13144 (2019) - 2018
- [i8]Diego Vergara, Sergio Hernández, Matias Valdenegro-Toro, Felipe Jorquera:
Predictive Uncertainty in Large Scale Classification using Dropout - Stochastic Gradient Hamiltonian Monte Carlo. CoRR abs/1805.04756 (2018) - [i7]Samy Nascimento, Matias Valdenegro-Toro:
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks. CoRR abs/1807.04109 (2018) - 2017
- [c4]Matias Valdenegro-Toro
Improving sonar image patch matching via deep learning. ECMR 2017: 1-6 - [c3]Matias Valdenegro-Toro:
Real-time convolutional networks for sonar image classification in low-power embedded systems. ESANN 2017 - [c2]Mariia Dmitrieva, Matias Valdenegro-Toro
Object classification with convolution neural network based on the time-frequency representation of their echo. MLSP 2017: 1-6 - [i6]Matias Valdenegro-Toro:
Improving Sonar Image Patch Matching via Deep Learning. CoRR abs/1709.02150 (2017) - [i5]Matias Valdenegro-Toro:
Real-time convolutional networks for sonar image classification in low-power embedded systems. CoRR abs/1709.02153 (2017) - [i4]Matias Valdenegro-Toro:
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. CoRR abs/1709.02600 (2017) - [i3]Matias Valdenegro-Toro:
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition. CoRR abs/1709.02601 (2017) - [i2]Octavio Arriaga, Matias Valdenegro-Toro, Paul Plöger:
Real-time Convolutional Neural Networks for Emotion and Gender Classification. CoRR abs/1710.07557 (2017) - [i1]Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro:
Image Captioning and Classification of Dangerous Situations. CoRR abs/1711.02578 (2017) - 2016
- [c1]Matias Valdenegro-Toro
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks. ANNPR 2016: 209-219
Coauthor Index
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