Erik Andreas Martens
@math-martens.bsky.social
Applied mathematician, scientist, researcher, human - in reverse order.
🚀 New Paper Published!
Proud to share the latest work with: “Next-generation reservoir computing for dynamical inference” published in Chaos!
📄 doi.org/10.1063/5.03...
#ReservoirComputing #DynamicalSystems #AIforScience
Proud to share the latest work with: “Next-generation reservoir computing for dynamical inference” published in Chaos!
📄 doi.org/10.1063/5.03...
#ReservoirComputing #DynamicalSystems #AIforScience
Validate User
doi.org
January 15, 2026 at 12:31 PM
🚀 New Paper Published!
Proud to share the latest work with: “Next-generation reservoir computing for dynamical inference” published in Chaos!
📄 doi.org/10.1063/5.03...
#ReservoirComputing #DynamicalSystems #AIforScience
Proud to share the latest work with: “Next-generation reservoir computing for dynamical inference” published in Chaos!
📄 doi.org/10.1063/5.03...
#ReservoirComputing #DynamicalSystems #AIforScience
It's been a great pleasure to collaborate with @bickmath.bsky.social on Constrained network adaptation - published now in Chaos as a featured article!
New paper with @math-martens.bsky.social on "Multiple timescale dynamics of network adaptation with constraints" now available Open Access in Chaos: doi.org/10.1063/5.02...
Multiple timescale dynamics of network adaptation with constraints
Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes and the dynamics of the network connections themselves. For de
doi.org
October 28, 2025 at 4:15 PM
It's been a great pleasure to collaborate with @bickmath.bsky.social on Constrained network adaptation - published now in Chaos as a featured article!
Free yourself - use constraints and reduce dimensionality!
Adaptive network dynamics are too high dimensional? Constrain! Or maybe adaptation may be naturally constrained to low-dimensional dynamics? Joint work with
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.
Multiple Timescale Dynamics of Network Adaptation with Constraints
Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes as well as dynamics of the network connections themselves. For dense networks of many nodes, the resul...
arxiv.org
July 14, 2025 at 11:50 AM
Free yourself - use constraints and reduce dimensionality!
Reposted by Erik Andreas Martens
Adaptive network dynamics are too high dimensional? Constrain! Or maybe adaptation may be naturally constrained to low-dimensional dynamics? Joint work with
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.
Multiple Timescale Dynamics of Network Adaptation with Constraints
Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes as well as dynamics of the network connections themselves. For dense networks of many nodes, the resul...
arxiv.org
July 14, 2025 at 11:44 AM
Adaptive network dynamics are too high dimensional? Constrain! Or maybe adaptation may be naturally constrained to low-dimensional dynamics? Joint work with
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.
@math-martens.bsky.social
now on the arXiv at arxiv.org/abs/2507.06359.