Steger, Angelika
- Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
2019/02/11 by Frederik Benzing, Marcelo Matheus Gauy, Benzing, Frederik +7 · 5 citations
Computer Science · #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Machine Learning and Data Classification
- Explosive Percolation in Erdös-Rényi-Like Random Graph Processes
2011/04/07 by Konstantinos Panagiotou, Reto Spöhel, Panagiotou, Konstantinos +5 · 3 citations
Computer Science · #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #cs.DM
- Discovering modular solutions that generalize compositionally
2023/12/22 by Simon Schug, Seijin Kobayashi, Schug, Simon +15 · 8 citations
Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI)
- Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
2025/12/23 by Seijin Kobayashi, Kobayashi, Seijin, Yanick Schimpf +29 · 5 voices · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Neural Networks and Reservoir Computing
- Approximating Real-Time Recurrent Learning with Random Kronecker Factors
2018/05/28 by Asier Mujika, Mujika, Asier, Florian Meier +3 · 3 citations
Computer Science · #Machine Learning and Algorithms
- Resilience of Perfect Matchings and Hamiltonicity in Random Graph\n Processes
2017/10/02 by Rajko Nenadov, Nenadov, Rajko, Angelika Steger +3 · 2 citations
Mathematics · Physics and Astronomy · #Stochastic processes and statistical mechanics #Complex Network Analysis Techniques #Markov Chains and Monte Carlo Methods
- Random initialisations performing above chance and how to find them
2022/09/15 by Frederik Benzing, Benzing, Frederik, Simon Schug +13 · 3 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions
2019/10/11 by Florian Meier, Meier, Florian, Asier Mujika +5 · 2 citations
Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
- Fast-Slow Recurrent Neural Networks
2017/05/24 by Asier Mujika, Mujika, Asier, Florian Meier +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning and ELM #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE)
- On the Insertion Time of Cuckoo Hashing
2010/06/07 by Nikolaos Fountoulakis, Konstantinos Panagiotou, Κωνσταντίνος Παναγιώτου +4 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #DNA and Biological Computing #Graph Labeling and Dimension Problems #cs.DS
- Random directed graphs are robustly Hamiltonian
2014/04/18 by Dan Hefetz, Hefetz, Dan, Angelika Steger +3 · 2 citations
Computer Science · Mathematics · #Advanced Graph Theory Research #Combinatorics (math.CO) #FOS: Mathematics #Graph theory and applications #Limits and Structures in Graph Theory #math.CO
- Connectivity Thresholds for Bounded Size Rules
2014/10/13 by Hafsteinn Einarsson, Einarsson, Hafsteinn, Johannes Lengler +7 · 1 citation
Mathematics · #Combinatorics (math.CO) #FOS: Mathematics #Probability (math.PR) #math.CO #math.PR
- Drift Analysis and Evolutionary Algorithms Revisited
2016/08/10 by Lengler, Johannes, Steger, Angelika · 1 citation
#60G40 #60J10 #68W20 #68W40 #Combinatorics (math.CO) #FOS: Computer and information sciences #FOS: Mathematics #G.3 #Neural and Evolutionary Computing (cs.NE) #Probability (math.PR)
- A general lower bound for collaborative tree exploration
2016/10/06 by Disser, Yann, Mousset, Frank, Noever, Andreas +2 · 1 citation
#Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences
- The linear hidden subset problem for the (1+1) EA with scheduled and adaptive mutation rates
2018/08/16 by Hafsteinn Einarsson, Marcelo Matheus Gauy, Einarsson, Hafsteinn +11 · 1 citation
Computer Science · Decision Sciences · #Auction Theory and Applications #Data Structures and Algorithms (cs.DS) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
- Learning Randomized Algorithms with Transformers
2024/08/20 by Johannes von Oswald, von Oswald, Johannes, Seijin Kobayashi +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning
2025/11/27 by Alexander Meulemans, Rajai Nasser, Meulemans, Alexander +25 · 5 voices · 1 citation
Computer Science · Neuroscience · Psychology · #Child and Animal Learning Development #Domain Adaptation and Few-Shot Learning #Embodied and Extended Cognition #acm:68 #cs.AI #msc:68