A Refined Laser Method and Faster Matrix Multiplication
Not on the map. Why?
Abstract (arXiv)
The complexity of matrix multiplication is measured in terms of ω, the smallest real number such that two n× n matrices can be multiplied using O(nω+ε) field operations for all ε>0; the best bound until now is ω<2.37287 [Le Gall'14]. All bounds on ω since 1986 have been obtained using the so-called laser method, a way to lower-bound the `value' of a tensor in designing matrix multiplication algorithms. The main result of this paper is a refinement of the laser method that improves the resulting value bound for most sufficiently large tensors. Thus, even before computing any specific values, it is clear that we achieve an improved bound on ω, and we indeed obtain the best bound on ω to date: ω < 2.37286. The improvement is of the same magnitude as the improvement that [Le Gall'14] obtained over the previous bound [Vassilevska W.'12]. Our improvement to the laser method is quite general, and we believe it will have further applications in arithmetic complexity.
Key facts. Cited by 56 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Oct 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 12; 2022: 15; 2023: 21; 2024: 4; 2025: 0; 2026: 4.
56 papers.
Sort:
- 2021Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Timecited by 62
- 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficientcited by 59
- 2023Attention Scheme Inspired Softmax Regressioncited by 49
- 2021Link Prediction with Persistent Homology: An Interactive Viewcited by 37
- 2023Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimensioncited by 37
- 2023An Iterative Algorithm for Rescaled Hyperbolic Functions Regressioncited by 35
- 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understandingcited by 30
- 2023A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Timecited by 30
- 2023A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Modelscited by 29
- 2022CASSPR: Cross Attention Single Scan Place Recognitioncited by 22
- 2022Dynamic Tensor Product Regressioncited by 17
- 2024Adjustment Identification Distance: A gadjid for Causal Structure Learningcited by 16
38 more
- 2023GRIL: A 2-parameter Persistence Based Vectorization for Machine Learningcited by 13
- 2022Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Healthcited by 12
- 2023Solving Dense Linear Systems Faster Than via Preconditioningcited by 12
- 2023Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Accelerationcited by 11
- 2021BR-NS: an Archive-less Approach to Novelty Searchcited by 7
- 2023Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameterscited by 7
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimizationcited by 7
- 2022Ensemble Clustering via Co-association Matrix Self-enhancementcited by 6
- 2022Subquadratic Kronecker Regression with Applications to Tensor Decompositioncited by 6
- 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Gamescited by 6
- 2023Convergence of Two-Layer Regression with Nonlinear Unitscited by 6
- 2021Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Samplingcited by 5
- 2021Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Timecited by 4
- 2021The magnitude vector of imagescited by 4
- 2022On the complexity of nonsmooth automatic differentiationcited by 4
- 2022Kernel Relative-prototype Spectral Filtering for Few-shot Learningcited by 4
- 2023Structural Node Embeddings with Homomorphism Countscited by 4
- 2022The Complexity of Dynamic Least-Squares Regressioncited by 3
- 2022Efficient Algorithms for Sparse Moment Problems without Separationcited by 3
- 2023Universal Majorization-Minimization Algorithmscited by 3
- 2021rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithmcited by 2
- 2022Rosenblatt's first theorem and frugality of deep learningcited by 2
- 2026Improving the matrix multiplication exponent with modern optimization and AlphaEvolvecited by 2
- 2021Dither computing: a hybrid deterministic-stochastic computing frameworkcited by 1
- 2021Reconstruction of Random Geometric Graphs: Breaking the Omega(r) distortion barriercited by 1
- 2021ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptionscited by 1
- 2022Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomographycited by 1
- 2023Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributionscited by 1
- 2021Fine-Grained Complexity and Algorithms for the Schulze Voting Methodcited by 0
- 2021Clustered Hierarchical Anomaly and Outlier Detection Algorithmscited by 0
- 2022Gransformer: Transformer-based Graph Generationcited by 0
- 2022Learning in Distributed Contextual Linear Bandits Without Sharing the Contextcited by 0
- 2022On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihoodcited by 0
- 2022Identifying Chemicals Through Dimensionality Reductioncited by 0
- 2023Can You Solve Closest String Faster than Exhaustive Search?cited by 0
- 2023Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplicationcited by 0
- 2023Iterative Sketching for Secure Coded Regressioncited by 0
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Trainingcited by 0
50 most cited of 56 All 56 (JSON)
- 2026Improving the matrix multiplication exponent with modern optimization and AlphaEvolve17 Aug 2026
- 2026Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model18 Jun 2026
- 2026Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach25 Feb 2026
- 2026Reducing the Complexity of Matrix Multiplication by Quantum Computing5 Feb 2026
- 2024Node Regression on Latent Position Random Graphs via Local Averaging29 Oct 2024
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimization12 Aug 2024
- 2024Universal Matrix Multiplication on Quantum Computer6 Aug 2024
- 2024Adjustment Identification Distance: A gadjid for Causal Structure Learning13 Feb 2024
- 2023Solving Dense Linear Systems Faster Than via Preconditioning14 Dec 2023
- 2023The Complexity of Envy-Free Graph Cutting12 Dec 2023
- 2023Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters24 Nov 2023
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training19 Nov 2023
38 more
- 2023A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time14 Sep 2023
- 2023Structural Node Embeddings with Homomorphism Counts29 Aug 2023
- 2023Convergence of Two-Layer Regression with Nonlinear Units16 Aug 2023
- 2023Iterative Sketching for Secure Coded Regression8 Aug 2023
- 2023Universal Majorization-Minimization Algorithms31 Jul 2023
- 2023Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions20 Jul 2023
- 2023Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication12 Jul 2023
- 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding8 Jun 2023
- 2023A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models4 Jun 2023
- 2023Can You Solve Closest String Faster than Exhaustive Search?26 May 2023
- 2023Toward Highly Efficient and Private Submodular Maximization via Matrix-Based Acceleration15 May 2023
- 2023An Iterative Algorithm for Rescaled Hyperbolic Functions Regression1 May 2023
- 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games27 Apr 2023
- 2023Attention Scheme Inspired Softmax Regression20 Apr 2023
- 2023GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning11 Apr 2023
- 2023Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension10 Apr 2023
- 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient27 Jan 2023
- 2022Identifying Chemicals Through Dimensionality Reduction27 Nov 2022
- 2022Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography23 Nov 2022
- 2022CASSPR: Cross Attention Single Scan Place Recognition22 Nov 2022
- 2022On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood13 Oct 2022
- 2022Dynamic Tensor Product Regression8 Oct 2022
- 2022Subquadratic Kronecker Regression with Applications to Tensor Decomposition11 Sep 2022
- 2022Rosenblatt's first theorem and frugality of deep learning29 Aug 2022
- 2022Efficient Algorithms for Sparse Moment Problems without Separation26 Jul 2022
- 2022Kernel Relative-prototype Spectral Filtering for Few-shot Learning24 Jul 2022
- 2022Learning in Distributed Contextual Linear Bandits Without Sharing the Context8 Jun 2022
- 2022On the complexity of nonsmooth automatic differentiation1 Jun 2022
- 2022Ensemble Clustering via Co-association Matrix Self-enhancement12 May 2022
- 2022Gransformer: Transformer-based Graph Generation25 Mar 2022
- 2022Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health2 Feb 2022
- 2022The Complexity of Dynamic Least-Squares Regression1 Jan 2022
- 2021Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time14 Dec 2021
- 2021ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions8 Nov 2021
- 2021The magnitude vector of images28 Oct 2021
- 2021rSVDdpd: A Robust Scalable Video Surveillance Background Modelling Algorithm22 Sep 2021
- 2021Reconstruction of Random Geometric Graphs: Breaking the Omega(r) distortion barrier29 Jul 2021
- 2021Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling22 Jul 2021
50 newest of 56 All 56 (JSON)
- 2021Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Timecited by 62
- 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficientcited by 59
- 2023Attention Scheme Inspired Softmax Regressioncited by 49
- 2021Link Prediction with Persistent Homology: An Interactive Viewcited by 37
- 2023Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimensioncited by 37
- 2023An Iterative Algorithm for Rescaled Hyperbolic Functions Regressioncited by 35
- 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understandingcited by 30
- 2023A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Timecited by 30
- 2023A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Modelscited by 29
- 2022CASSPR: Cross Attention Single Scan Place Recognitioncited by 22
- 2022Dynamic Tensor Product Regressioncited by 17
- 2024Adjustment Identification Distance: A gadjid for Causal Structure Learningcited by 16
12 most cited of 56 All 56 (JSON)
- 2026Improving the matrix multiplication exponent with modern optimization and AlphaEvolve17 Aug 2026
- 2026Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model18 Jun 2026
- 2026Neural Learning of Fast Matrix Multiplication Algorithms: A StrassenNet Approach25 Feb 2026
- 2026Reducing the Complexity of Matrix Multiplication by Quantum Computing5 Feb 2026
- 2024Node Regression on Latent Position Random Graphs via Local Averaging29 Oct 2024
- 2024Fast John Ellipsoid Computation with Differential Privacy Optimization12 Aug 2024
- 2024Universal Matrix Multiplication on Quantum Computer6 Aug 2024
- 2024Adjustment Identification Distance: A gadjid for Causal Structure Learning13 Feb 2024
- 2023Solving Dense Linear Systems Faster Than via Preconditioning14 Dec 2023
- 2023The Complexity of Envy-Free Graph Cutting12 Dec 2023
- 2023Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters24 Nov 2023
- 2023Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training19 Nov 2023
12 newest of 56 All 56 (JSON)