Theory

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 Evaluating the design space of diffusion-based generative models NeurIPS 2024 Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization NeurIPS 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024 Exponential Hardness of Optimization from the Locality in Quantum Neural Networks AAAI 2024 Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification AAAI 2024 Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024 First-order ANIL provably learns representations despite overparametrisation ICLR 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NeurIPS 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Convergent Variational Inference NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Graph Neural Networks and Arithmetic Circuits NeurIPS 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing ACML 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding ICLR 2024 Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024 Harnessing small projectors and multiple views for efficient vision pretraining NeurIPS 2024 High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024