Jacob A. Zavatone-Veth

1. Scaling and renormalization in high-dimensional regression
   2024/05/01 by Alexander Atanasov, Jacob A. Zavatone-Veth, Atanasov, Alexander +3 · 1 voice · 12 citations
   #stat.ML #cond-mat.dis-nn #cs.LG
2. Asymptotic theory of in-context learning by linear attention
   2024/05/20 by Yue M. Lu, Lu, Yue M., Mary I. Letey +7 · 16 citations
   Computer Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
3. Risk and cross validation in ridge regression with correlated samples
   2024/08/08 by Alexander Atanasov, Atanasov, Alexander, Jacob A. Zavatone-Veth +3 · 4 citations
   Mathematics · #Advanced Statistical Methods and Models #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Asymptotic theory of in-context learning by linear attention
   2025/07/09 by Yue M. Lu, Mary I. Letey, Jacob A. Zavatone-Veth +2 · 1 voice · 6 citations
   Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
5. A Model of Place Field Reorganization During Reward Maximization
   2024/12/16 by M Ganeshkumar, Blake Bordelon, Jacob A. Zavatone-Veth +1 · 1 voice · 1 citation
   Neuroscience · #Memory and Neural Mechanisms #Neural dynamics and brain function #Neural and Behavioral Psychology Studies