Yamamura, Atsushi

1. Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
   2023/06/07 by Feng Chen, Chen, Feng, Daniel Kunin +5 · 7 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
2. Geometric landscape annealing as an optimization principle underlying the coherent Ising machine
   2023/09/15 by Yamamura, Atsushi, Mabuchi, Hideo, Ganguli, Surya · 5 citations
   #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Optics (physics.optics)
3. High-Dimensional Non-Convex Landscapes and Gradient Descent Dynamics
   2023/08/07 by Bonnaire, Tony, Ghio, Davide, Krishnamurthy, Kamesh +3 · 2 citations
   #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech)
4. Fooling LLM graders into giving better grades through neural activity guided adversarial prompting
   2024/12/17 by Atsushi Yamamura, Surya Ganguli, Yamamura, Atsushi +1 · 1 voice · 1 citation
   Computer Science · #Neural Networks and Applications