1 citations · 1 across the 4 of their papers we have counts for
5 papers
Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing
Stefan Fischer, Nihat Ay, Olaf Landsiedel +4
Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamateria…
Algorithmic bottlenecks in evolution: Genetic code, symbolic language, and the Great Filter hypothesis
Mikhail Prokopenko, Nihat Ay, Angelica Breviario +12
The Great Filter hypothesis proposes that the emergence of technological societies capable of interstellar travel depends on a small number of exceptionally hard and highly improba…
Well-Posed KL-Regularized Control via Wasserstein and Kalman-Wasserstein KL Divergences
Viktor Stein, Adwait Datar, Nihat Ay
Kullback-Leibler (KL) divergence regularization is widely used in reinforcement learning, but it becomes infinite under support mismatch and can degenerate in low-noise regimes. Us…
Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
Adwait Datar, Nihat Ay
The Kullback-Leibler (KL) divergence plays a central role in probabilistic machine learning, where it commonly serves as the canonical loss function. Optimization in such settings…
Information Geometry for Wasserstein KL Divergence of Gaussian Measures on
Adwait Datar, Nihat Ay
We study the Wasserstein Kullback--Leibler divergence (WKL divergence) on the manifold of nondegenerate Gaussian measures over . In the canonical-divergence constructi…