Anastasis Kratsios

1. Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
   2024/02/02 by Tin Sum Cheng, Aurélien Lucchi, Cheng, Tin Sum +5 · 3 citations
   Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Grey System Theory Applications #Infrared Target Detection Methodologies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity
   2024/09/18 by Ruiyang Hong, Hong, Ruiyang, Anastasis Kratsios +1 · 4 citations
   Computer Science · #26A16 #41A44 #68T07 #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA)
3. Is In-Context Universality Enough? MLPs are Also Universal In-Context
   2025/02/05 by Anastasis Kratsios, Kratsios, Anastasis, Takashi Furuya +1 · 2 citations
   Social Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Language and cultural evolution #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA) #Probability (math.PR)
4. Low-dimensional approximations of the conditional law of Volterra processes: a non-positive curvature approach
   2024/05/30 by Reza Arabpour, Arabpour, Reza, John Armstrong +7 · 1 citation
   Physics and Astronomy · Economics, Econometrics and Finance · Biochemistry, Genetics and Molecular Biology · #Advanced Thermodynamics and Statistical Mechanics #Stochastic processes and financial applications #Diffusion and Search Dynamics
5. Higher-Order Transformer Derivative Estimates for Explicit Pathwise Learning Guarantees
   2024/05/26 by Yannick Limmer, Limmer, Yannick, Anastasis Kratsios +7 · 1 citation
   Computer Science · #41A65 #60G35 #62M20 #68T07 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA) #Probability (math.PR)
6. Neural Spacetimes for DAG Representation Learning
   2024/08/25 by Haitz Sáez de Ocáriz Borde, Borde, Haitz Sáez de Ocáriz, Anastasis Kratsios +7 · 1 citation
   Computer Science · #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metric Geometry (math.MG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
7. NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes
   2026/07/15 by Anastasis Kratsios, Giulia Livieri, Philipp Schmocker
   #math.PR #cs.LG #q-fin.CP #stat.ML