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Detecting Long-term Behavioral Adaptations in Assisted Driving: An Automated Approach Using Neural Networks and Novelty Detection
Formal Control of an Inverted Pendulum on a Cart via Stochastic Abstractions: Using Interval Markov Decision Processes and Linear Temporal Logic on Finite Traces
Learning Reduced Order Mappings of Navier-Stokes: An Investigation of Generalization on the Viscosity Parameter
Deep Learning for Aerodynamic Dataset Prediction of Combat Aircraft
Max-Min-Plus-Scaling Neural Networks to Approximate Continuous Piecewise Affine Model Predictive Control Laws
Energy-Conservative Data-Driven Modelling for the two-scale Navier-Stokes Equations
An Adaptive Neural Network Quadrotor Trajectory Tracking Controller Tolerant to Propeller Damage
Depth Light Field Training (DeLFT): NeRF as a rendering primitive
AI on Low-Cost Hardware: FPGA subgroup
PINNs for parametrized problems
Compression of the embedding layer in an LSTM model using tensor train decomposition for NLP
Loss functions and neural networks: Comparing different loss functions for NLP neural networks
Optimizing supply temperatures in district heating grids
Empirical study of GANITE’s robustness to hidden confounders
Efficiently coupling QM and MD for the study of electrode-electrolyte interfaces
Real-time Ball-touch Classification on an Insole Sensor using Neural Networks
Economic Greenhouse Decision Support: Embedding a Long Short-Term Memory Network in a Constraint Programming Decision Support System
A completer picture of domestic water access and consumption: Integrating machine learning models and survey information
Towards Corrective Deep Imitation Learning in Data Intensive Environments: Helping robots to learn faster by leveraging human knowledge
Online Black-box Shape Optimization for a Seamless Active Morphing Wing
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