Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits

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Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits

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Robust machine learning for neuroscientific inference

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Data and scripts for the RaFSIP scheme

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Imaging sensor device using an array of single-photon avalanche diode photodetectors

Predicting the long-term collective behaviour of fish pairs with deep learning

GELEX: Generative AI-Hybrid System for Example-Based Learning

Unveiling the complexity of learning and decision-making

Reliable data-driven decision-making through optimal transport

Topics in statistical physics of high-dimensional machine learning

Meta-learning to address diverse Earth observation problems across resolutions

In-Sensor Passive Speech Classification with Phononic Metamaterials

Discrete choice modeling in the era of big data

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems