Tiny satellites, big challenges: A feasibility study of machine vision pose estimation for PocketQubes during conjunctions

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Transformers trained on natural language data have been shown to exhibit hierarchical generalization without explicitly encoding any structural bias. In this work, we investigate sources of inductive bias in transformer models and their training that could ...

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In the CORTEX project, methods to simulate neutron flux oscillations were enhanced and machine-learning based tools to determine the causes of measured neutron flux oscillations were developed, using the results of simulations as training and validation da ...

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The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

We present a new programmable neighborhood mechanism for hardware implemented Kohonen self-organizing maps (SOMs) with three different map topologies realized on a single chip. The proposed circuit comes as a fully parallel and asynchronous architecture. T ...

In this paper, we consider a novel approach to control the timing of motions when these are encoded with autonomous dynamical systems (DS). Accurate timing of motion is crucial if a robot must synchronize its movement with that of a fast moving object. In ...

Background: Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present evolutionary approaches to improve the inference of regulatory networks for ...

This paper proposes an algorithm for distributed classification, based on a SVM scheme. The contribution of each support vector is approximated by low complexity distributed thresholding over sub-dictionaries, whose union forms a redundant dictionary of at ...

Tiny satellites, big challenges: A feasibility study of machine vision pose estimation for PocketQubes during conjunctions

Chattez avec Graph Search

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Graph generative deep learning models with an application to circuit topologies

Estimation of horizontal running power using foot-worn inertial measurement units

Closed form approximation methods for portfolio valuation and risk management

Kernel Methods and Similarity Learning Applied in Computational Chemistry

Sensitivity analysis in core diagnostics

An assessment of the structural resolution of various fingerprints commonly used in machine learning

How Machine Learning is challenged by algorithmic complexity classes. From models to practices

Wavefront shaping and deep learning in fiber endoscopy

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Sim-to-real transfer reinforcement learning for control of thermal effects of an atmospheric pressure plasma jet

Deep Learning of Human Perception in Audio Event Classification

Detecting EEG correlates during preparation of complex driving maneuvers

Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology

Learning Motion Dynamics to Catch a Moving Object

Refining transcriptional regulatory networks using network evolutionary models and gene histories

Distributed SVM applied to image classification