Theory

Statistical inference on black-box generative models in the data kernel perspective space ACL 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025 The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) IJCAI 2025 The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination ACL 2025 The Local Learning Coefficient: A Singularity-Aware Complexity Measure AISTATS 2025 Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding ACL 2025 Theoretical Convergence Guarantees for Variational Autoencoders AISTATS 2025 The Polynomial Iteration Complexity for Variance Exploding Diffusion Models: Elucidating SDE and ODE Samplers AISTATS 2025 The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025 Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 Towards a mathematical theory for consistency training in diffusion models AISTATS 2025 Towards Precise Scaling Laws for Video Diffusion Transformers CVPR 2025 Towards Understanding How Knowledge Evolves in Large Vision-Language Models CVPR 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025 Understanding Silent Data Corruption in LLM Training ACL 2025 Understanding the Effect of GCN Convolutions in Regression Tasks AISTATS 2025 Unique Hard Attention: A Tale of Two Sides ACL 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers EMNLP 2025 Verification of Neural Networks Against Convolutional Perturbations via Parameterised Kernels AAAI 2025 VI^3NR: Variance Informed Initialization for Implicit Neural Representations CVPR 2025 When LRP Diverges from Leave-One-Out in Transformers EMNLP 2025