Skip to content
conftrace_

Theory

1,239 papers

4
2
104
110
'10
'15
'20
'25

Papers

Extracting and Understanding the Superficial Knowledge in Alignment NAACL 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 Finite Expression Method for Solving High-Dimensional Partial Differential Equations JMLR 2025 Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs AISTATS 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 Global Convergence in Neural ODEs: Impact of Activation Functions ICLR 2025 Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025 Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025 Improving Rectified Flow with Boundary Conditions ICCV 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Information Locality as an Inductive Bias for Neural Language Models ACL 2025 Interpretability Analysis of Arithmetic In-Context Learning in Large Language Models EMNLP 2025 Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025 Language Models Resist Alignment: Evidence From Data Compression ACL 2025 Length-Induced Embedding Collapse in PLM-based Models ACL 2025 Loss Gradient Gaussian Width based Generalization and Optimization Guarantees AISTATS 2025 MambaOut: Do We Really Need Mamba for Vision? CVPR 2025 Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion ICLR 2025 Memorization in Attention-only Transformers AISTATS 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary JMLR 2025 Monitoring Primitive Interactions During the Training of DNNs AAAI 2025 Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025 Neural Variable-Order Fractional Differential Equation Networks AAAI 2025 Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization EMNLP 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025