Papers

• Extrapolating the emergence of Hamiltonian chaos with random-feature Hamiltonian neural networks (2026)
  Jaesung Choi
  1.94
• Escaping Mode Collapse in LLM Generation via Geometric Regulation (2026)
  Xin Du et al.
  1.83
• Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model (2026)
  Quoc Hoan Tran et al.
  1.67
• Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flows (2025)
  Anish Sambamurthy et al.
  1.56
• Deterministic Discrete Denoising (2025)
  Hideyuki Suzuki et al.
  1.39
• Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models (2024)
  Tianyi Li et al.
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• Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network (2024)
  Abdolvahhab Rostamijavanani et al.
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