Koji Hukushima

1. Néel Temperature of Quasi-Low-Dimensional Heisenberg Antiferromagnets
   2003/12/31 by Chitoshi Yasuda, C. Yasuda, Synge Todo +10 · 7 citations
   Physics and Astronomy · #Advanced Condensed Matter Physics #Physics of Superconductivity and Magnetism #Theoretical and Computational Physics #cond-mat.str-el
2. Adaptive Flip Graph Algorithm for Matrix Multiplication
   2023/12/28 by Yamato Arai, Yuma Ichikawa, Arai, Yamato +3 · 8 citations
   Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture #Stochastic Gradient Optimization Techniques #Symbolic Computation (cs.SC)
3. Higher-order tensor renormalization group study of the J₁-J₂ Ising model on a square lattice
   2023/03/14 by Kota Yoshiyama, Koji Hukushima, Yoshiyama, Kota +1 · 5 citations
   Physics and Astronomy · #Quantum many-body systems #Theoretical and Computational Physics #Opinion Dynamics and Social Influence
4. Phase transition in large language models and the criticality of natural languages
   2024/06/08 by Kai Nakaishi, Yoshihiko Nishikawa, Nakaishi, Kai +3 · 6 citations
   Computer Science · Social Sciences · #Natural Language Processing Techniques #Topic Modeling #Language and cultural evolution
5. Exchange Monte Carlo Method and Application to Spin Glass Simulations
   1995/12/06 by Koji Hukushima, Koji Nemoto · 1 citation
   Physics and Astronomy · #cond-mat
6. Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing
   2023/10/24 by Yuma Ichikawa, Koji Hukushima, Ichikawa, Yuma +1 · 2 citations
   Computer Science · Engineering · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistics Theory (math.ST)
7. High-dimensional Asymptotics of VAEs: Threshold of Posterior Collapse and Dataset-Size Dependence of Rate-Distortion Curve
   2023/09/14 by Yuma Ichikawa, Koji Hukushima, Ichikawa, Yuma +1 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Cancer-related molecular mechanisms research #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
8. Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning
   2024/09/12 by Yuichi Ishida, Yuma Ichikawa, Ishida, Yuichi +7 · 1 citation
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Stochastic Gradient Optimization Techniques