Awesome Papers

Papers

Recursive Flow Matching (2026)
Jiahe Huang et al.
11.02
A feedforward neural network for modelling of average pressure frequency response (2021)
Klas Pettersson et al.
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Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals (2022)
Axel Marmoret et al.
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A Convolutional Dispersion Relation Preserving Scheme for the Acoustic Wave Equation (2022)
Oded Ovadia and Adar Kahana and Eli Turkel
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Grid-Based Decimation for Wavelet Transforms with Stably Invertible Implementation (2023)
Nicki Holighaus et al.
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On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats (2023)
Matteo Cacciola et al.
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Using a one-dimensional finite-element approximation of Webster's horn equation to estimate individual ear canal acoustic transfer from input impedances (2023)
Nick Wulbusch et al.
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Research and experimental verification on low-frequency long-range sound propagation characteristics under ice-covered and range-dependent marine environment in the Arctic (2023)
Jinbao Weng (1) et al.
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Research and experimental verification on low-frequency long-range underwater sound propagation dispersion characteristics under dual-channel sound speed profiles in the Chukchi Plateau (2023)
Jinbao Weng (1) et al.
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Enhancing ASR Performance through OCR Word Frequency Analysis: Theoretical Foundations (2024)
Kyudan Jung et al.
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Early Recognition of Parkinson's Disease Through Acoustic Analysis and Machine Learning (2024)
Niloofar Fadavi and Nazanin Fadavi
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Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities (2026)
Tianchi Yu et al.
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A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations (2026)
Shu Liu et al.
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Personal Sound Zones and Shielded Localized Communication through Active Acoustic Control (2024)
Neil Jerome A. Egarguin and Daniel Onofrei
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Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations (2026)
Vladislav Trifonov et al.
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Accelerating Natural Gradient Descent for PINNs with Randomized Numerical Linear Algebra (2026)
Ivan Bioli et al.
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Hybrid least squares for learning functions from highly noisy data (2026)
Ben Adcock et al.
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Fredholm Neural Networks for inverse problems in elliptic PDEs (2026)
Kyriakos C. Georgiou et al.
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Keep the beat going: Automatic drum transcription with momentum (2026)
Alisha L. Foster and Robert J. Webber
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Inversion of Arctic dual-channel sound speed profile based on random airgun signal (2025)
Jinbao Weng (1 et al.
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Acoustic source depth estimation method based on a single hydrophone in Arctic underwater (2025)
Jinbao Weng (1 et al.
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SonicRadiation: A Hybrid Numerical Solution for Sound Radiation without Ghost Cells (2026)
Xutong Jin et al.
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Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators (2026)
Gianluca Fabiani et al.
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A first-order method for constrained nonconvex-nonconcave minimax optimization (2026)
Zhaosong Lu et al.
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Solving the Offline and Online Min-Max Problem of Non-smooth Submodular-Concave Functions: A Zeroth-Order Approach (2026)
Amir Ali Farzin et al.
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TorchLean: Formalizing Neural Networks in Lean (2026)
Robert Joseph George et al.
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Towards Universal Convergence of Backward Error in Linear System Solvers (2026)
Micha{\l} Derezi\'nski et al.
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Complex Stochastic Gradient Descent and Directional Bias in Reproducing Kernel Hilbert Spaces (2026)
Natanael Alpay et al.
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SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate (2026)
Lifu Wei et al.
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Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations (2026)
Shuang Chen et al.
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Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation (2026)
Guoming Li et al.
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Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization (2026)
Youngjae Park et al.
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RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs (2026)
Yi-Shuai Niu
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Training-Free Looped Transformers (2026)
Lizhang Chen et al.
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WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains (2026)
Bokai Zhu et al.
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IV-Net: A neural network for elliptic PDEs with random and highly varying coefficients (2026)
Shan Zhong et al.
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Random Neural Network Expressivity for Non-Linear Partial Differential Equations (2026)
Muhammed Ali Mehmood et al.
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Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems (2026)
Jules Berman et al.
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Autoregression-Free Neural Operators for Time-Dependent PDEs (2026)
Jiaquan Zhang et al.
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Branched Signature Kernel Solvers for ODEs with rough Single-Trajectory signals (2026)
Munawar Ali et al.
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Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models (2026)
In\'es Gonzalez-Pepe et al.
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Two-Parameter Flows for Learning Population Dynamics of Physical Systems (2026)
Paul Schwerdtner et al.
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Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks (2026)
Ungv\'ari Gerg\H{o} et al.
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Semigroup Consistency as a Diagnostic for Learned Physics Simulators (2026)
Lennon J. Shikhman
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Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations (2026)
Chanyoung Kim et al.
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Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks (2026)
Tomoki Koike et al.
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Hybrid Neural World Models (2026)
Pranav Lakshmanan et al.
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History-aware adaptive reduced-order models via incremental singular value decomposition (2026)
Amirpasha Hedayat et al.
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Manifold-based Algorithms for the Hadamard Decomposition (2026)
Nicolas Gillis et al.
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Ensemble Score Filtering for Real-Data Energy Consumption Forecast Correction (2026)
Ruoyu Hu et al.
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