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Theory

1,082 papers

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Papers

Bayes-optimal learning of an extensive-width neural network from quadratically many samples NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
Scaling Law for Time Series Forecasting NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NIPS 2024
What does guidance do? A fine-grained analysis in a simple setting NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
On Feature Learning in Structured State Space Models NIPS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
How many classifiers do we need? NIPS 2024
Base of RoPE Bounds Context Length NIPS 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NIPS 2024
NN4SysBench: Characterizing Neural Network Verification for Computer Systems NIPS 2024
Unraveling the Gradient Descent Dynamics of Transformers NIPS 2024
Infinite-Dimensional Feature Interaction NIPS 2024
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024
Light Unbalanced Optimal Transport NIPS 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
Hypothesis Testing the Circuit Hypothesis in LLMs NIPS 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NIPS 2024
Rethinking Robustness of Model Attributions AAAI 2024
Simplicity Bias in Overparameterized Machine Learning AAAI 2024