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Tensor Networks
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
Domain-Aware Tensor Network Structure Search
A tensor network approach for chaotic time series prediction
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
TensorRL-QAS: Reinforcement learning with tensor networks for scalable quantum architecture search
Boosting Binomial Exotic Option Pricing with Tensor Networks
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems
Explaining Anomalies with Tensor Networks
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
Plastic tensor networks for interpretable generative modeling
SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning
Compositionality Unlocks Deep Interpretable Models
Quantum Methods for Managing Ambiguity in Natural Language Processing
Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress
Tensor-based Model Reduction and Identification for Generalized Memory Polynomial
tn4ml: Tensor Network Training and Customization for Machine Learning
Generative-enhanced optimization for knapsack problems: an industry-relevant study
Regularized dynamical parametric approximation of stiff evolution problems
Tensor Network Estimation of Distribution Algorithms
On Faster Marginalization with Squared Circuits via Orthonormalization
Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces
LTNtorch: PyTorch Implementation of Logic Tensor Networks
Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
Anomaly Detection from a Tensor Train Perspective
Learning to Classify Quantum Phases of Matter with a Few Measurements
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
Learning out-of-time-ordered correlators with classical kernel methods
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
A Matrix Product State Model for Simultaneous Classification and Generation
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Quantum consistent neural/tensor networks for photonic circuits with strongly/weakly entangled states
Learning topological states from randomized measurements using variational tensor network tomography
Sisteme Hibride de Invatare Automata si Aplicatii
Probabilistic Inference in the Era of Tensor Networks and Differential Programming
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