Promising papers related to DSL in ICML 2026
Published:
Spectral Analysis of Model
Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs
When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
SD-MoE: Spectral Decomposition for Effective Expert Specialization
Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
Spectral Generation
Physics-informed Diffusion Models in Spectral Space
Primal-Spectral Generative Modeling: Fast Analytical Generation via Pseudoinverse Lévy Inversion
Revisiting Spectral Representations in Generative Diffusion Models
Designing noise schedules for diffusion models with spectral analysis
Spectrum-based Applications
FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
SymSpectra: Symmetric Information Bottleneck Framework for Molecular Structure Recognition under Imbalanced Settings
Spectral Optimization
Fast Spectrally Sparse Signal Reconstruction via Jacobi-Preconditioned Gradient Descent
Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy
FUSE: Full‑spectrum Unlearnable Examples via Spectral Equalization
