Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction | Paper Citation Record

Observation fd6a2b12-2fc7-427a-8c2b-945ef6cab2d7 · outbound

This paper cites Virtual reality for architectural acoustics,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Virtual reality for architectural acoustics,

Reference 1

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This paper cites A survey of sound source localization methods in wireless acoustic sensor networks,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A survey of sound source localization methods in wireless acoustic sensor networks,

Reference 2

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This paper cites Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations,

Reference 3

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This paper cites A consoli- dated perspective on multimicrophone speech enhancement and source separation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A consoli- dated perspective on multimicrophone speech enhancement and source separation,

Reference 4

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Observation 6adef1e1-9757-48be-a957-a00b3113521e · outbound

This paper cites Acoustic imaging with circular microphone array: A new approach for sound field analysis,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Acoustic imaging with circular microphone array: A new approach for sound field analysis,

Reference 5

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This paper cites Para- metric ambisonic encoding of arbitrary microphone arrays,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Para- metric ambisonic encoding of arbitrary microphone arrays,

Reference 6

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This paper cites Deep, data-driven modeling of room acoustics: literature review and research perspectives,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep, data-driven modeling of room acoustics: literature review and research perspectives,

Reference 7

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Observation e37cee3a-fdb8-4c47-bbb5-c965ca5b557c · outbound

This paper cites Sound field reconstruction in rooms: Inpainting meets super-resolution,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Sound field reconstruction in rooms: Inpainting meets super-resolution,

Reference 8

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Observation f3f12bf6-f008-417c-b9c2-e706644270f9 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 9

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Observation 5dae913c-53fc-42d3-8b60-d1945e2d3f86 · outbound

This paper cites Scientific machine learning through physics–informed neural networks: where we are and what’s next,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Scientific machine learning through physics–informed neural networks: where we are and what’s next,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.130324Z

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Observation 607cae36-9cd3-40d7-bf4c-3233f24c38bf · outbound

This paper cites Koyama, J.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Koyama, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.116896Z

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Observation 5d60b0ef-4ca1-4c2b-84c4-8e0dfae1860c · outbound

This paper cites Physics- informed convolutional neural network with bicubic spline interpolation for sound field estimation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics- informed convolutional neural network with bicubic spline interpolation for sound field estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.102539Z

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Observation ec7946d1-2ce6-4d12-ba42-14b1fc93f9e7 · outbound

This paper cites Physics-informed neural network for volumetric sound field reconstruction of speech signals,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural network for volumetric sound field reconstruction of speech signals,

Reference 13

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Observation e5ebb8f1-b5f0-4ec9-94ba-964a66570582 · outbound

This paper cites Point neuron learning: a new physics- informed neural network architecture,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Point neuron learning: a new physics- informed neural network architecture,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.073733Z

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Observation bfb04bf6-7749-4948-86dd-d0115d193edb · outbound

This paper cites Room impulse response reconstruction with physics-informed deep learning.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Room impulse response reconstruction with physics-informed deep learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:51:08.695352Z

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Observation 0910b27e-867c-4e1f-8878-295ccb14b751 · outbound

This paper cites Physics-informed neural network assisted spherical microphone array signal processing,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural network assisted spherical microphone array signal processing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.060132Z

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Observation 1fad824c-1757-41b1-b1e2-37adffd0abaa · outbound

This paper cites Generative models for sound field reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Generative models for sound field reconstruction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.046946Z

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Observation d5ba4700-b1d8-4848-bf7d-f24b5b4b4eb7 · outbound

This paper cites Generative adversarial networks with physical sound field priors,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Generative adversarial networks with physical sound field priors,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.032962Z

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Observation c17bf63e-259c-4b30-8f2d-5bb3fcad87b6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Denoising diffusion probabilistic models,

Reference 19

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This paper cites Diffusion models for audio restoration: A review,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusion models for audio restoration: A review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:09.009963Z

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Observation e74bd024-edb0-4333-958d-39bf63009de6 · outbound

This paper cites Buddy: Single-channel blind unsupervised dereverberation with diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Buddy: Single-channel blind unsupervised dereverberation with diffusion models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.996494Z

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This paper cites Towards hrtf personalization using denoising diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Towards hrtf personalization using denoising diffusion models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.983218Z

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Observation 8815cfbf-36ad-4586-8bf8-f1a945fa6c31 · outbound

This paper cites Hrtf estimation using a score-based prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Hrtf estimation using a score-based prior,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.969654Z

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Observation 7da6e6b7-7926-4cf7-a488-f31f119d6665 · outbound

This paper cites Diffusion-based audio inpainting,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusion-based audio inpainting,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.956074Z

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Observation c4eeb11b-1a6e-4f00-b2b9-4e6a7a190b87 · outbound

This paper cites Reconstruction of sound field through diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Reconstruction of sound field through diffusion models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.943204Z

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Observation 74ee2d81-9483-4a12-bedf-23ebb7ad52b8 · outbound

This paper cites Blind spatial impulse response generation from separate room-and scene-specific information,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Blind spatial impulse response generation from separate room-and scene-specific information,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.929830Z

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Observation 3a423599-2241-4533-9135-317ce0de8f71 · outbound

This paper cites Diffusionrir: Room impulse response interpolation using diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusionrir: Room impulse response interpolation using diffusion models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.916197Z

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Observation fac17ba4-cf5a-42fd-838c-2717f138824b · outbound

This paper cites Deep image prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep image prior,

Reference 28

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Observation b7deaa07-9177-4f9b-8736-85366a0ac4ab · outbound

This paper cites Deep prior-based unsupervised reconstruction of irregularly sampled seismic data,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior-based unsupervised reconstruction of irregularly sampled seismic data,

Reference 29

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Observation 16093ebc-61a9-4bcd-b949-de0781e0a585 · outbound

This paper cites Prediction of missing frequency response functions through deep image prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Prediction of missing frequency response functions through deep image prior,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.873848Z

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Observation 68ce17cf-a707-49ee-8732-70a85337d0a8 · outbound

This paper cites Deep prior-based audio inpainting using multi-resolution harmonic convolutional neural networks,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior-based audio inpainting using multi-resolution harmonic convolutional neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.859585Z

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Observation ef88d8e8-aea9-48b2-8715-bc414c3a8243 · outbound

This paper cites Noise2inverse: Self-supervised deep convolutional denoising for tomography,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Noise2inverse: Self-supervised deep convolutional denoising for tomography,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.845393Z

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Observation 1f9eded1-06c7-4386-b2df-3939f087ab33 · outbound

This paper cites Deep prior approach for room impulse response reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior approach for room impulse response reconstruction,

Reference 33

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This paper cites Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.821126Z

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Observation c9e37b5b-76ab-4a00-a075-f9925f2c1cff · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Lora: Low-rank adaptation of large language models

Reference 35

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Observation 036418c8-8944-44a9-bbfd-1bfa7ddb6d8b · outbound

This paper cites Niirf: Neural iir filter field for hrtf upsampling and personalization,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Niirf: Neural iir filter field for hrtf upsampling and personalization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.797094Z

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Observation 6be5d135-bdec-4a39-a0ea-f88c082bd9fe · outbound

This paper cites Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses

Reference 37

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Observation 6544d8e2-2aca-4953-ac27-bbcc7bb3bb29 · outbound

This paper cites Sparse representation of a spatial sound field in a reverberant environment,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Sparse representation of a spatial sound field in a reverberant environment,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.782704Z

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Observation 94a7dd72-b186-4a78-bcb1-07e2a356a58a · outbound

This paper cites Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.767717Z

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Observation acd328ef-9795-4d7c-b2c9-1c20ad6d68f2 · outbound

This paper cites A zero-shot physics-informed dictionary learning approach for sound field reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A zero-shot physics-informed dictionary learning approach for sound field reconstruction,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.753339Z

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Observation 5b958a90-74e3-4bf1-8b78-64ada08143f4 · outbound

This paper cites LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:08.588233Z

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Observation 36104c85-8b74-403b-81c8-d36fa1b94815 · outbound

This paper cites Multiresunet : Rethinking the u-net architecture for multimodal biomedical image segmentation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Multiresunet : Rethinking the u-net architecture for multimodal biomedical image segmentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.739686Z

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Observation 8e3e05e5-089b-4eaf-965f-2053ac0a78ea · outbound

This paper cites Decoupled Weight Decay Regularization.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Decoupled Weight Decay Regularization

Reference 43

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Observation 65eb0c5a-96eb-4b03-a5b6-7308b908a9a8 · outbound

This paper cites Ray-space-based multichannel nonnegative matrix factorization for audio source separation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Ray-space-based multichannel nonnegative matrix factorization for audio source separation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.724964Z

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Observation 550b7036-1a50-4f15-977b-c5f0f4f8c14b · outbound

This paper cites Compressed sensing of impulse responses in rooms of unknown properties and contents,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Compressed sensing of impulse responses in rooms of unknown properties and contents,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:08.710178Z

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