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07/20/2023
Applying QNLP to sentiment analysis in finance
As an application domain where the slightest qualitative improvements ca...
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06/09/2023
Weight Re-Mapping for Variational Quantum Algorithms
Inspired by the remarkable success of artificial neural networks across ...
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12/20/2022
Visual Transformers for Primates Classification and Covid Detection
We apply the vision transformer, a deep machine learning model build aro...
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12/20/2022
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
Common to all different kinds of recurrent neural networks (RNNs) is the...
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07/15/2022
Stochastic Market Games
Some of the most relevant future applications of multi-agent systems lik...
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06/12/2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence
Providing expert trajectories in the context of Imitation Learning is of...
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03/13/2022
BioSimulators: a central registry of simulation engines and services for recommending specific tools
Computational models have great potential to accelerate bioscience, bioe...
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01/21/2022
Meta Learning MDPs with Linear Transition Models
We study meta-learning in Markov Decision Processes (MDP) with linear tr...
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12/14/2021
Quantifying Multimodality in World Models
Model-based Deep Reinforcement Learning (RL) assumes the availability of...
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09/13/2021
A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
A framework is proposed for developing and evaluating algorithms for ext...
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12/14/2020
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
A characteristic of reinforcement learning is the ability to develop unf...
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12/11/2020
Analysis of Feature Representations for Anomalous Sound Detection
In this work, we thoroughly evaluate the efficacy of pretrained neural n...
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12/11/2020
Acoustic Leak Detection in Water Networks
In this work, we present a general procedure for acoustic leak detection...
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08/11/2020
Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms
In many fields of research, labeled datasets are hard to acquire. This i...
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06/05/2020
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
In industrial applications, the early detection of malfunctioning factor...
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05/25/2020
Policy Entropy for Out-of-Distribution Classification
One critical prerequisite for the deployment of reinforcement learning s...
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08/05/2019
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks
The difficulty of mountainbike downhill trails is a subjective perceptio...
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07/30/2019
Soccer Team Vectors
In this work we present STEVE - Soccer TEam VEctors, a principled approa...
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07/11/2019
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning
We propose Stable Yet Memory Bounded Open-Loop (SYMBOL) planning, a gene...
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07/05/2019
Deep Neural Baselines for Computational Paralinguistics
Detecting sleepiness from spoken language is an ambitious task, which is...
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03/15/2019