17 citations · 51 across the 31 of their papers we have counts for
4 papers · 2 filters
An Educated Guess: Deriving Statistically Aligned Gradient Estimates for Zeroth-Order Optimisation
Justus Huebotter, Serge Thill, Marcel van Gerven +1
As novel hardware architectures are explored for the purposes of machine learning, including neuromorphic chips, asynchronous systems, and ASICs, effective learning algorithms are…
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…
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…
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…