Matias Valdenegro-Toro

CoRR, 2024

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning.

[BibT_eX]

[DOI]

Eric Brouwer

Jan Erik van Woerden

Gertjan J. Burghouts

CoRR, 2024

Forecasting Smog Clouds With Deep Learning.

[BibT_eX]

[DOI]

Valentijn Oldenburg

Juan Cardenas-Cartagena

CoRR, 2024

How disentangled are your classification uncertainties?

[BibT_eX]

[DOI]

CoRR, 2024

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act.

[BibT_eX]

[DOI]

Radina Stoykova

CoRR, 2024

Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data.

[BibT_eX]

[DOI]

Mariela De Lucas Alvarez

Jichen Guo

Raul Domínguez

CoRR, 2024

Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation.

[BibT_eX]

[DOI]

CoRR, 2024

Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models.

[BibT_eX]

[DOI]

Tobias Groot

CoRR, 2024

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation.

[BibT_eX]

[DOI]

Ahmed Faisal Abdelrahman

Maren Bennewitz

Paul G. Plöger

CoRR, 2024

Uncertainty Quantification for Gradient-based Explanations in Neural Networks.

[BibT_eX]

[DOI]

Mihir Mulye

CoRR, 2024

Sanity Checks for Explanation Uncertainty.

[BibT_eX]

[DOI]

Mihir Mulye

CoRR, 2024

Transferring BCI models from calibration to control: Observing shifts in EEG features.

[BibT_eX]

[DOI]

Lüke Luna van den Wittenboer

CoRR, 2024

Uncertainty Quantification for cross-subject Motor Imagery classification.

[BibT_eX]

[DOI]

Prithviraj Manivannan

CoRR, 2024

Mapping Transformer Leveraged Embeddings for Cross-Lingual Document Representation.

[BibT_eX]

[DOI]

Tsegaye Misikir Tashu

Eduard-Raul Kontos

Matthia Sabatelli

CoRR, 2024

Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jasper Wilfling

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Uncertainty Quantification in Machine Learning for Biosignal Applications - A Review.

[BibT_eX]

[DOI]

CoRR, 2023

ChatGPT Prompting Cannot Estimate Predictive Uncertainty in High-Resource Languages.

[BibT_eX]

[DOI]

Martino Pelucchi

Deepan Chakravarthi Padmanabhan

CoRR, 2023

Sanity Checks for Saliency Methods Explaining Object Detectors.

[BibT_eX]

[DOI]

Paul G. Plöger

Deepan Chakravarthi Padmanabhan

Proceedings of the Explainable Artificial Intelligence, 2023

DExT: Detector Explanation Toolkit.

[BibT_eX]

[DOI]

Paul G. Plöger

Proceedings of the Explainable Artificial Intelligence, 2023

Sub-Ensembles for Fast Uncertainty Estimation in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The VVAD-LRS3 Dataset for Visual Voice Activity Detection.

[BibT_eX]

[DOI]

Adrian Lubitz

Frank Kirchner

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Difficulty Estimation with Action Scores for Computer Vision Tasks.

[BibT_eX]

[DOI]

Sebastian Palacio

Deepan Chakravarthi Padmanabhan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DExT: Detector Explanation Toolkit.

[BibT_eX]

[DOI]

CoRR, 2022

Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models.

[BibT_eX]

[DOI]

Kumud Lakara

CoRR, 2022

A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation.

[BibT_eX]

[DOI]

Lokesh Veeramacheneni

CoRR, 2022

Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression.

[BibT_eX]

[DOI]

Levente Foldesi

CoRR, 2022

Machine Learning Students Overfit to Overfitting.

[BibT_eX]

[DOI]

Matthia Sabatelli

Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement.

[BibT_eX]

[DOI]

Daniel Saromo Mori

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Self-supervised Learning for Sonar Image Classification.

[BibT_eX]

[DOI]

Alan Preciado-Grijalva

Miguel Bande Firvida

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Feature Disentanglement of Robot Trajectories.

[BibT_eX]

[DOI]

Daniel Harnack

Hendrik Wöhrle

CoRR, 2021

Benchmark for Out-of-Distribution Detection in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Aaqib Parvez Mohammed

CoRR, 2021

Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Mihir Patil

CoRR, 2021

Pre-trained Models for Sonar Images.

[BibT_eX]

[DOI]

Alan Preciado-Grijalva

CoRR, 2021

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

[BibT_eX]

[DOI]

Arka Mallick

Paul Plöger

CoRR, 2021

Teaching Uncertainty Quantification in Machine Learning through Use Cases.

[BibT_eX]

[DOI]

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

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

[BibT_eX]

[DOI]

Deepak Singh

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

I Find Your Lack of Uncertainty in Computer Vision Disturbing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Improving predictive uncertainty estimation using Dropout-Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Sergio Hernández

Diego Vergara

Felipe Jorquera

Soft Comput., 2020

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

[BibT_eX]

[DOI]

Matthias Rosynski

Frank Kirchner

CoRR, 2020

Unsupervised Difficulty Estimation with Action Scores.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Lauren Michelle Pfeifer

CoRR, 2020

Black-Box Optimization of Object Detector Scales.

[BibT_eX]

[DOI]

CoRR, 2020

Perception for Autonomous Systems (PAZ).

[BibT_eX]

[DOI]

Mohandass Muthuraja

Sushma Devaramani

Frank Kirchner

CoRR, 2020

Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?

[BibT_eX]

[DOI]

Aaqib Parvez Mohammed

CoRR, 2020

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

[BibT_eX]

[DOI]

Akshatha Kamath

Dwaraknath Gnaneshwar

CoRR, 2020

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

[BibT_eX]

[DOI]

Maryam Matin

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

Deep neural networks for marine debris detection in sonar images.

[BibT_eX]

[DOI]

PhD thesis, 2019

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

[BibT_eX]

[DOI]

Mariela De Lucas Alvarez

Mariia Dmitrieva

Georgios Salavasidis

Shahab Heshmati-Alamdari

Juan F. Fuentes-Pérez

Veronika Yordanova

Klemen Istenic

Thomas Guerneve

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Nour Soufi

CoRR, 2019

Deep Neural Networks for Marine Debris Detection in Sonar Images.

[BibT_eX]

[DOI]

CoRR, 2019

Implementing Noise with Hash functions for Graphics Processing Units.

[BibT_eX]

[DOI]

Hector Pincheira

CoRR, 2019

Real-time Convolutional Neural Networks for emotion and gender classification.

[BibT_eX]

[DOI]

Paul Plöger

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Learning Objectness from Sonar Images for Class-Independent Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018

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

[BibT_eX]

[DOI]

Samy Nascimento

CoRR, 2018

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

[BibT_eX]

[DOI]

Diego Vergara

Sergio Hernández

Felipe Jorquera

CoRR, 2018

2017

Image Captioning and Classification of Dangerous Situations.

[BibT_eX]

[DOI]

Paul Plöger

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Object classification with convolution neural network based on the time-frequency representation of their echo.

[BibT_eX]

[DOI]

Mariia Dmitrieva

Keith E. Brown

Gary Heald

David M. Lane

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.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Improving sonar image patch matching via deep learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]