tensor algebra

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Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (41 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Automatic Differentiation for Tensor Algebras
  3 Nov 2017 18 repositories listed
  For the function fᵢⱼ (x) = xᵢ², the derivative of the loss is (dx)ᵢ=∂l/∂xᵢ=∑ⱼ (df)ᵢⱼ2xᵢ; the sum is necessary because index j does not appear in the indices of f.
• Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals
  27 Oct 2021 2 repositories listed
  Nonnegative Tucker decomposition (NTD), a tensor decomposition model, has received increased interest in the recent years because of its ability to blindly extract meaningful patterns, in particular in Music Information…
• TOD: GPU-accelerated Outlier Detection via Tensor Operations
  26 Oct 2021 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Outlier detection (OD) is a key learning task for finding rare and deviant data samples, with many time-critical applications such as fraud detection and intrusion detection.
• Molding CNNs for text: non-linear, non-consecutive convolutions
  17 Aug 2015 2 repositories listed
  Moreover, we extend the n-gram convolution to non-consecutive words to recognize patterns with intervening words.
• PLAIN: Scalable Estimation Architecture for Integrated Sensing and Communication
  27 Mar 2025 1 repository listed
  In this work, we propose PLAIN, a tensor-based estimation architecture that flexibly scales with multiple sensing dimensions and can handle high dimensionality, limited measurement time, and super-resolution…
• Flexible Moment-Invariant Bases from Irreducible Tensors
  27 Mar 2025 1 repository listed
  Moment invariants are a powerful tool for the generation of rotation-invariant descriptors needed for many applications in pattern detection, classification, and machine learning.
• Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
  4 Oct 2024 1 repository listed
  In this paper, we introduce Local Attention Mechanism (LAM), an efficient attention mechanism tailored for time series analysis.
• Optimal Kernel Orchestration for Tensor Programs with Korch
  13 Jun 2024 1 repository listed
  Prior approaches optimize kernel orchestration by greedily applying operator fusion, which fuses the computation of multiple operators into a single kernel, and miss a variety of optimization opportunities in kernel…
• Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
  9 Oct 2023 1 repository listed
  To overcome the computational challenge of kernel regression, we place the function values on a mesh and induce a Kronecker product construction, and we use tensor algebra to enable efficient computation and…
• Reservoir kernels and Volterra series
  30 Dec 2022 1 repository listed
  A universal kernel is constructed whose sections approximate any causal and time-invariant filter in the fading memory category with inputs and outputs in a finite-dimensional Euclidean space.
• tntorch: Tensor Network Learning with PyTorch
  22 Jun 2022 1 repository listed
  We present tntorch, a tensor learning framework that supports multiple decompositions (including Candecomp/Parafac, Tucker, and Tensor Train) under a unified interface.
• LoopStack: a Lightweight Tensor Algebra Compiler Stack
  2 May 2022 1 repository listed
  We present LoopStack, a domain specific compiler stack for tensor operations, composed of a frontend, LoopTool, and an efficient optimizing code generator, LoopNest.
• Collage: Seamless Integration of Deep Learning Backends with Automatic Placement
  1 Nov 2021 1 repository listed
  Given the fast-evolving nature of the DL ecosystem, this manual approach often slows down continuous innovations across different layers; it prevents hardware vendors from the fast deployment of their cutting-edge…
• Multi-Channel Automatic Music Transcription Using Tensor Algebra
  23 Jul 2021 1 repository listed
  Music is an art, perceived in unique ways by every listener, coming from acoustic signals.
• CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem
  27 Feb 2021 1 repository listed
  Markov Decision Process (MDP) is the underlying model for optimal planning for decision-theoretic agents in stochastic environments.
• Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
  12 Jun 2020 1 repository listed
  Sequential data such as time series, video, or text can be challenging to analyse as the ordered structure gives rise to complex dependencies.
• Dynamic Graph Convolutional Networks Using the Tensor M-Product
  16 Oct 2019 1 repository listed
  In recent years, a variety of graph neural networks (GNNs) have been successfully applied for representation learning and prediction on such graphs.
• Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
  16 May 2019 1 repository listed
  This paper proposes the Mesh Neural Network (MNN), a novel architecture which allows neurons to be connected in any topology, to efficiently route information.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.