Disordered Systems & Neural Networks
20 papers tagged Disordered Systems & Neural Networks — re-sort below
Papers
- Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks (2026)Mo Shakiba et al.5.49
- Neuron Level Analysis of Large Language Model in Legal Domain Reasoning (2026)Eri Onami et al.5.49
- The Weight Norm Sets the Grokking Timescale: A Causal Delay Law (2026)Truong Xuan Khanh et al.4.39
- Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective (2026)Tao Jing et al.4.39
- Analyzing Visual Aircraft Representations with Sparse Autoencoders (2026)Deepshik Sharma4.39
- Sobolev Approximation by Fixed-Size Neural Networks with Arbitrary Accuracy (2026)Baicheng Li et al.4.39
- Natively Unlearnable Large Language Models (2026)Gaurav R. Ghosal et al.3.51
- Decompose Sparsely Where You Should, Absorb Densely Where You Should No (2026)Ruixuan Deng et al.3.51
- Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model (2026)Siyu Chen et al.3.51
- Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization (2026)Kaiyue Wen et al.3.51
- Convergence rates for gradient descent in the training of overparameterized artificial neural networks with piecewise affine activation (2026)Arnulf Jentzen et al.2.00
- The Frequency Confound in Language-Model Surprisal and Metaphor Novelty (2026)Omar Momen et al.2.00
- The Symmetries of Three-Layer ReLU Networks (2026)Johanna Marie Gegenfurtner et al.2.00
- Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain (2026)Yuan Yao et al.2.00
- Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks (2026)Wenyu Liao et al.2.00
- Depth-Attention: Cross-Layer Value Mixing for Language Models (2026)Boyi Zeng et al.2.00
- HAARES Half-Split Residual Basis Routing for Deep Transformers (2026)Kehan Wang2.00
- Overcoming Rank Collapse in Feedback Alignment (2026)Gauthier Boeshertz et al.2.00
- Unlearning What Matters: Token-level Attribution For Precise Language Model Unlearning (2026)Jiawei Wu, Doudou Zhou2.00
- Spectral Architecture Search for Neural Network Models (2025)Gianluca Peri et al.1.22