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Yuma Ichikawa

Ratio Divergence Learning Using Target Energy in Restricted Boltzmann Machines: Beyond Kullback--Leibler Divergence Learning

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Sep 12, 2024
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Statistical Mechanics of Min-Max Problems

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Sep 09, 2024
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Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling

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Sep 02, 2024
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Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models

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Aug 27, 2024
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Continuous Tensor Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems

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Feb 03, 2024
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Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing

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Oct 24, 2023
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Controlling Continuous Relaxation for Combinatorial Optimization

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Sep 29, 2023
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Dataset Size Dependence of Rate-Distortion Curve and Threshold of Posterior Collapse in Linear VAE

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Sep 14, 2023
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Toward Unlimited Self-Learning Monte Carlo with Annealing Process Using VAE's Implicit Isometricity

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Nov 25, 2022
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