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kronecker product

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tensor decomposition (6) parameter-efficient fine-tuning (4) neural network (4) gaussian process (4) second-order optimization (3) graphical model (3) low-rank adaptation (3) bayesian inference (3) matrix-variate gaussian (2) convolutional neural network (2)

Papers

Oxytrees: Model Trees for Bipartite Learning AAAI 2026 AdaFisher: Adaptive Second Order Optimization via Fisher Information ICLR 2025 Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation ICML 2025 DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models WACV 2025 FlatQuant: Flatness Matters for LLM Quantization ICML 2025 MoKA:Parameter Efficiency Fine-Tuning via Mixture of Kronecker Product Adaption COLING 2025 Scalable Gaussian Processes with Latent Kronecker Structure ICML 2025 Toward Efficient Kernel-Based Solvers for Nonlinear PDEs ICML 2025 AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product COLING 2024 A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NeurIPS 2024 Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Dimension-free Structured Covariance Estimation COLT 2024 How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation ICLR 2024 KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023 Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance ICML 2023 Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition AAAI 2022 Efficient Compact Bilinear Pooling via Kronecker Product AAAI 2022 Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games AAAI 2022 KoPA: Automated Kronecker Product Approximation JMLR 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Subquadratic Kronecker Regression with Applications to Tensor Decomposition NeurIPS 2022 Compacter: Efficient Low-Rank Hypercomplex Adapter Layers NeurIPS 2021 Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NeurIPS 2021 Monotonic Kronecker-Factored Lattice ICLR 2021 Tensor Normal Training for Deep Learning Models NeurIPS 2021