activity
20142026
most citedDeep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway

1.1k citations · 1.7k across the 56 of their papers we have counts for

collaborators

57 papers

cs.CV2026

Evolving Layer-Specific Scalar Functions for Hardware-Aware Transformer Adaptation

Kieran Carrigg, Sigur de Vries, Amirhossein Sadough +1

Vision Transformers (ViTs) achieve state-of-the-art performance on challenging vision tasks, but their deployment on edge devices is hindered by the computational complexity and gl…

cs.NE2026

Symbolic Discovery of Stochastic Differential Equations with Genetic Programming

Sigur de Vries, Sander W. Keemink, Marcel A. J. van Gerven

Automated scientific discovery aims to improve scientific understanding through machine learning. A central approach in this field is symbolic regression, which uses genetic progra…

cs.SD2026

GRAM: Spatial general-purpose audio representations for real-world environments

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

Audio foundation models learn general-purpose audio representations that facilitate a wide range of downstream tasks. While the performance of these models has greatly increased fo…

cs.LG2025

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.…

cs.LG2025

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…

cs.LG2025

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…