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tensor algebra
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
On Tensor-based Polynomial Hamiltonian Systems
Flexible Moment-Invariant Bases from Irreducible Tensors
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
Compressing Structured Tensor Algebra
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
Optimal Kernel Orchestration for Tensor Programs with Korch
Signature volatility models: pricing and hedging with Fourier
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
Linear to multi-linear algebra and systems using tensors
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains
Reservoir kernels and Volterra series
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling
OLLIE: Derivation-based Tensor Program Optimizer
tntorch: Tensor Network Learning with PyTorch
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling
LoopStack: a Lightweight Tensor Algebra Compiler Stack
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
TOD: GPU-accelerated Outlier Detection via Tensor Operations
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
Multi-Channel Automatic Music Transcription Using Tensor Algebra
CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem
Generalized iterated-sums signatures
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
Controllability of Hypergraphs
TIRAMISU: A Polyhedral Compiler for Dense and Sparse Deep Learning
Data-Driven Model Reduction for Multilinear Control Systems via Tensor Trains
Dynamic Graph Convolutional Networks Using the Tensor M-Product
Multivariate Convolutional Sparse Coding with Low Rank Tensor
Algebraic Channel Estimation Algorithms for FDD Massive MIMO systems
Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
Tensor Variable Elimination for Plated Factor Graphs
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
Persistence paths and signature features in topological data analysis
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.