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20122026
most citedDynamic Decomposition of Spatiotemporal Neural Signals

17 citations · 51 across the 31 of their papers we have counts for

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8 papers · 1 filter

cs.LG2026

When Does Unsupervised Learning Succeed or Fail? A PoS Perspective on Reconstruction-Based Anomaly Detection

Mehmet Yamaç, Yagmur Mustu, Muhammad Numan Yousaf +2

Reconstruction-based unsupervised learning can fail in two opposing ways: a model may reconstruct anomalies too accurately or discard valid nominal variation. Using the Pursuit of…

cs.SD2026

EquiSELD: Efficient training of equivariant sound event localization and detection networks

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

First-order Ambisonics (FOA) signals exhibit exact O(3) symmetry: The rotation or reflection of the FOA signal modifies the direction of arrival of the sound sources, while preserv…

cs.SD2026

Bearings: Self-Supervised Soundfield Embeddings from First-Order Ambisonics

Goksenin Yuksel, Marcel van Gerven, Kiki van der Heijden

Recently proposed self-supervised audio encoders learn powerful general-purpose representations of sound scenes, yet they are spatially blind. To supply the missing spatial represe…

cs.SD2026

Feasibility of Time-Domain DNN-Based Speech Enhancement on Embedded FPGA for Hearing Aids

Feyisayo Olalere, Umut Altin, Kiki van der Heijden +1

Hearing aids impose strict latency and power constraints that current DNN-based speech enhancement systems struggle to meet on embedded hardware. We characterize this gap by deploy…

cs.MA2026

Tuning Agent-Based Predator-Prey Models Toward Lotka-Volterra Dynamics

Corinna Mandl, Siddharth Chaturvedi, Marcel van Gerven

Recent growth in compute power has made it increasingly feasible to use large-scale agent-based models to simulate complex adaptive systems. A central difficulty is that such model…

cs.LG2026

Axiomatizing Neural Networks via Pursuit of Subspaces

Mehmet Yamac, Mert Duman, Ugur Akpinar +4

While deep neural networks have achieved remarkable success across a wide range of domains, their underlying mechanisms remain poorly understood, and they are often regarded as bla…

cs.LG2026

Hidden States as Value Gradients: The Pontryagin Structure of Recurrent Policies

David Leeftink, Max Hinne, Marcel van Gerven

A key capability of intelligent agents is to act effectively under incomplete state observations. Recurrent policies address this by compressing observation histories into a hidden…

cs.MA2026

Role Differentiation in a Coupled Resource Ecology under Multi-Level Selection

Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven

A group of non-cooperating agents can succumb to the \emph{tragedy-of-the-commons} if all of them seek to maximize the same resource channel to improve their viability. In nature,…