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Journal of Machine Learning

ISSNs: 2790-203X, 2790-2048
Source type: journal
Publisher:
Fully OA: No
DOAJ: No
OpenAlex ID: S4387279278
Journal of Machine Learning
2022 · Journal of Machine Learning · 204
Bridging Traditional and Machine Learning-Based Algorithms for Solving PDEs: The Random Feature Method
2022 · Jingrun Chen, Xurong Chi, et al. · Journal of Machine Learning · 114
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The Cost-Accuracy Trade-Off in Operator Learning with Neural Networks
2022 · Maarten V. de Hoop, Daniel Zhengyu Huang, et al. · Journal of Machine Learning · 50
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Ab-Initio Study of Interacting Fermions at Finite Temperature with Neural Canonical Transformation
2022 · Hao Xie, Linfeng Zhang, et al. · Journal of Machine Learning · 27
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Interpolating Between BSDEs and PINNs: Deep Learning for Elliptic and Parabolic Boundary Value Problems
2023 · Nikolas Nüsken, Lorenz Richter · Journal of Machine Learning · 18
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Convergence of Stochastic Gradient Descent Schemes for Łojasiewicz-Landscapes
2024 · Steffen Dereich, Sebastian Kassing · Journal of Machine Learning · 13
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On the Existence of Global Minima and Convergence Analyses for Gradient Descent Methods in the Training of Deep Neural Networks
2022 · Arnulf Jentzen, Adrian Riekert · Journal of Machine Learning · 13
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Reinforcement Learning Algorithm for Mixed Mean Field Control Games
2023 · Andrea Angiuli, Nils Detering, et al. · Journal of Machine Learning · 10
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DeePN$^2$: A Deep Learning-Based Non-Newtonian Hydrodynamic Model
2022 · Lidong Fang, Pei Ge, et al. · Journal of Machine Learning · 10
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Embedding Principle: A Hierarchical Structure of Loss Landscape of Deep Neural Networks
2022 · Yaoyu Zhang, Yuqing Li, et al. · Journal of Machine Learning · 10
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Memory$^3$: Language Modeling with Explicit Memory
2024 · Hongkang Yang, Zehao Lin, et al. · Journal of Machine Learning · 8
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Solving Bivariate Kinetic Equations for Polymer Diffusion Using Deep Learning
2024 · Heng Wang, Weihua Deng · Journal of Machine Learning · 8
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Beyond the Quadratic Approximation: The Multiscale Structure of Neural Network Loss Landscapes
2022 · Chao Ma, Daniel Kunin, et al. · Journal of Machine Learning · 7
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Prompt Engineering Through the Lens of Optimal Control
2023 · Yifan Luo, Yiming Tang, et al. · Journal of Machine Learning · 6
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Reinforcement Learning with Function Approximation: From Linear to Nonlinear
2023 · Jihao Long, Jiequn Han · Journal of Machine Learning · 6
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Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space
2022 · Jihao Long, Jiequn Han · Journal of Machine Learning · 6
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On the Existence of Optimal Shallow Feedforward Networks with ReLU Activation
2024 · Steffen Dereich, Sebastian Kassing · Journal of Machine Learning · 5
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A Deep Uzawa-Lagrange Multiplier Approach for Boundary Conditions in PINNs and Deep Ritz Methods
2025 · Charalambos G. Makridakis, Aaron Pim, et al. · Journal of Machine Learning · 3
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Enhancing Accuracy in Deep Learning Using Random Matrix Theory
2024 · Leonid Berlyand, Etienne Sandier, et al. · Journal of Machine Learning · 3
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Fast Gradient Computation for Gromov-Wasserstein Distance
2024 · Wei Zhang, Zihao Wang, et al. · Journal of Machine Learning · 3
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Approximation Results for Gradient Flow Trained Neural Networks
2024 · Gerrit Welper · Journal of Machine Learning · 3
Semi-Supervised Clustering of Sparse Graphs: Crossing the Information-Theoretic Threshold
2024 · Junda Sheng, Thomas Strohmer · Journal of Machine Learning · 3
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Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms
2024 · Robert Balkin, Hector D. Ceniceros, et al. · Journal of Machine Learning · 3
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A Brief Survey on the Approximation Theory for Sequence Modelling
2023 · Haotian Jiang, Qianxiao Li, et al. · Journal of Machine Learning · 3
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A Mathematical Framework for Learning Probability Distributions
2022 · Hongkang Yang · Journal of Machine Learning · 3
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Works count: 60
Citation count: 566
H-index: 10
I10-index: 10
2yr mean citedness: 1.865
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