24 citations · 78 across the 32 of their papers we have counts for
13 papers · 1 filter
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
David Leeftink, Roman Doll, Heleen Visserman +4
Laser dicing of semiconductor wafers is a critical step in microelectronic manufacturing, where multiple sequential laser passes precisely separate individual dies from the wafer.…
Generative Modeling of Clinical Time Series via Latent Stochastic Differential Equations
Muhammad Aslanimoghanloo, Ahmed ElGazzar, Marcel van Gerven
Clinical time series data from electronic health records and medical registries offer unprecedented opportunities to understand patient trajectories and inform medical decision-mak…
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
Iterative optimization is central to modern artificial intelligence (AI) and provides a crucial framework for understanding adaptive systems. This review provides a unified perspec…
WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms
Goksenin Yuksel, Pierre Guetschel, Michael Tangermann +2
Learning audio representations from raw waveforms overcomes key limitations of spectrogram-based audio representation learning, such as the long latency of spectrogram computation…
ABMax: A JAX-based Agent-based Modeling Framework
Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven
Agent-based modeling (ABM) is a principal approach for studying complex systems. By decomposing a system into simpler, interacting agents, agent-based modeling (ABM) allows researc…
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet +1
Anomaly detection (AD) plays a vital role across a wide range of real-world domains by identifying data instances that deviate from expected patterns, potentially signaling critica…