Yaroslav Felipe Kalle Kossio

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Dynamical Learning of Dynamics	2020	Christian Klos Yaroslav Felipe Kalle Kossio Sven Goedeke Aditya Gilra Raoul-Martin Memmesheimer
+ PDF Chat	Growing Critical: Self-Organized Criticality in a Developing Neural System	2018	Yaroslav Felipe Kalle Kossio Sven Goedeke Benjamin van den Akker Borja Ibarz Raoul-Martin Memmesheimer

Common Coauthors

Coauthor	Papers Together
Raoul-Martin Memmesheimer	2
Sven Goedeke	2
Borja Ibarz	1
Aditya Gilra	1
Christian Klos	1
Benjamin van den Akker	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Hawkes Processes in Finance	2015	Emmanuel Bacry Iacopo Mastromatteo J. F. Muzy	1
+	Controlling Recurrent Neural Networks by Conceptors	2014	Herbert Jaeger	1
+ PDF Chat	Application of the combined nonlinear-condensation transformation to problems in statistical analysis and theoretical physics	2002	Sergey Aksenov Michael A. Savageau Ulrich D. Jentschura Jens Becher G. Soff Peter J. Mohr	1
+	Spatio-temporal point process models for the spread of avian influenza virus (H5N1)	2011	Harry Kim	1
+	A derivation of the Borel distribution	1961	Julian Tanner	1
+ PDF Chat	Adaptive self-organization in a realistic neural network model	2009	Christian Meisel Thilo Groß	1
+ PDF Chat	Self-organized critical neural networks	2003	Stefan Bornholdt Torsten Röhl	1
+ PDF Chat	Self-Organized Branching Processes: Mean-Field Theory for Avalanches	1995	Stefano Zapperi K. B. Lauritsen H. Eugene Stanley	1
+ PDF Chat	Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches	2011	Woodrow L. Shew Hongdian Yang Shan Yu Rajarshi Roy Dietmar Plenz	1
+	Markov-modulated Hawkes process with stepwise decay	2010	Ting Wang Mark Bebbington David Harte	1
+ PDF Chat	Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems	2014	Elisabetta Chicca Fabio Stefanini Chiara Bartolozzi Giacomo Indiveri	1
+	Dynamical synapses causing self-organized criticality in neural networks	2007	Anna Levina J. Michael Herrmann T. Geisel	1
+ PDF Chat	Self-organization without conservation: true or just apparent scale-invariance?	2009	Juan A. Bonachela Miguel A. Muñoz	1
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	1
+ PDF Chat	Topological Evolution of Dynamical Networks: Global Criticality from Local Dynamics	2000	Stefan Bornholdt Thimo Rohlf	1
+	Equivalence between RLS algorithms and the ridge regression technique	2002	M.Y. Ismail José C. Prı́ncipe	1
+ PDF Chat	Self-exciting point process models of civilian deaths in Iraq	2011	Erik Lewis George Mohler P. Jeffrey Brantingham Andrea L. Bertozzi	1
+	The Markovian self-exciting process	1975	David Oakes	1
+	A cluster process representation of a self-exciting process	1974	Alan G. Hawkes David Oakes	1
+	CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling	2016	Zhaofei Yu David Kappel Robert Legenstein Sen Song Feng Chen Wolfgang Maass	1
+ PDF Chat	Simple unified view of branching process statistics: Random walks in balanced logarithmic potentials	2017	Serena Di Santo Pablo Villegas Raffaella Burioni Miguel A. Muñoz	1
+	The Theory of Branching Processes	1965	Peter Ney T. E. Harris	1
+	RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning	2016	Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel	1
+ PDF Chat	Subsampling scaling	2017	Anna Levina Viola Priesemann	1
+ PDF Chat	Neuromorphic photonic networks using silicon photonic weight banks	2017	Alexander N. Tait Thomas Ferreira de Lima Ellen Zhou Allie X. Wu Mitchell A. Nahmias Bhavin J. Shastri Paul R. Prucnal	1
+ PDF Chat	full-FORCE: A target-based method for training recurrent networks	2018	Brian DePasquale Christopher J. Cueva Kanaka Rajan G. Sean Escola L. F. Abbott	1
+	Learning to Adapt: Meta-Learning for Model-Based Control	2018	Ignasi Clavera Anusha Nagabandi Ronald S. Fearing Pieter Abbeel Sergey Levine Chelsea Finn	1
+	One step back, two steps forward: interference and learning in recurrent neural networks	2018	Chen Beer Omri Barak	1
+	CoCoA: A General Framework for Communication-Efficient Distributed Optimization	2018	Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi	1
+	Limit theorems for Markovian Hawkes processes with a large initial intensity	2018	Xuefeng Gao Lingjiong Zhu	1
+ PDF Chat	One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks	2019	Chen Beer Omri Barak	1
+ PDF Chat	Self-organization without conservation: are neuronal avalanches generically critical?	2010	Juan A. Bonachela Sebastiano de Franciscis Joaquı́n J. Torres Miguel A. Muñoz	1
+ PDF Chat	Brain-Inspired Photonic Signal Processor for Generating Periodic Patterns and Emulating Chaotic Systems	2017	Piotr Antonik Marc Haelterman Serge Massar	1
+ PDF Chat	Power laws and self-organized criticality in theory and nature	2013	Dimitrije Marković Claudius Gros	1
+ PDF Chat	Homeostatic Plasticity and External Input Shape Neural Network Dynamics	2018	Johannes Zierenberg Jens Wilting Viola Priesemann	1
+ PDF Chat	Implementation of the Combined--Nonlinear Condensation Transformation	2002	Sergey Aksenov Michael A. Savageau Ulrich D. Jentschura Jens Becher G. Soff Peter J. Mohr	1
+ PDF Chat	Power-Law Distributions in Empirical Data	2009	Aaron Clauset Cosma Rohilla Shalizi M. E. J. Newman	1
+	Affine Point Processes and Portfolio Credit Risk	2010	Eymen Errais Kay Giesecke Lisa R. Goldberg	1
+ PDF Chat	A dynamic contagion process	2011	Angelos Dassios Hongbiao Zhao	1
+ PDF Chat	Learning Universal Computations with Spikes	2016	Dominik Thalmeier Marvin Uhlmann Hilbert J. Kappen Raoul-Martin Memmesheimer	1
+ PDF Chat	Perfect simulation of Hawkes processes	2005	Jesper Møller Jakob Gulddahl Rasmussen	1
+	Long short-term memory and learning-to-learn in networks of spiking neurons	2018	Guillaume Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass	1
+	Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables	1965	J. W. W. Milton Abramowitz Irene A. Stegun	1
+	A Survey of Neuromorphic Computing and Neural Networks in Hardware	2017	Catherine D. Schuman Thomas E. Potok Robert M. Patton J.D. Birdwell Mark E. Dean Garrett S. Rose James S. Plank	1
+	Towards learning-to-learn	2018	Benjamin Lansdell Konrad P. Körding	1
+	Meta-Learning: A Survey	2018	Joaquin Vanschoren	1