Robuta

https://openreview.net/forum?id=59mdmZJV6IG&referrer=%5Bthe%20profile%20of%20Pradyumna%20Reddy%5D(%2Fprofile%3Fid%3D~Pradyumna_Reddy2) A Multi-Implicit Neural Representation for Fonts | OpenReview Fonts are ubiquitous across documents and come in a variety of styles. They are either represented in a native vector format or rasterized to produce fixed... neural representationmultiimplicitfontsopenreview https://openreview.net/forum?id=rGFrRMBbOq Progressive Fourier Neural Representation for Sequential Video Compilation | OpenReview Neural Implicit Representation (NIR) has recently gained significant attention due to its remarkable ability to encode complex and high-dimensional data into... neural representationvideo compilationprogressivefouriersequential https://openreview.net/forum?id=XqcXf7ix5q Locality-Aware Generalizable Implicit Neural Representation | OpenReview Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data... neural representationlocalityawareimplicitopenreview https://elifesciences.org/reviewed-preprints/108043 Neural Representation of Associative Threat Learning in Pulvinar Divisions, Lateral Geniculate... neural representationassociativethreat https://elifesciences.org/articles/48293v2 Neural representation of newly instructed rule identities during early implementation trials | eLife Ventro-lateral prefrontal cortex codes novel rules starting from their first-time implementation right after instruction while early consolidation is channeled... neural representation https://openreview.net/forum?id=zMjjzXxS64&referrer=%5Bthe%20profile%20of%20Przemys%C5%82aw%20Spurek%5D(%2Fprofile%3Fid%3D~Przemys%C5%82aw_Spurek1) FreSh: Frequency Shifting for Accelerated Neural Representation Learning | OpenReview Implicit Neural Representations (INRs) have recently gained attention as a powerful approach for continuously representing signals such as images, videos, and... frequency shiftingneural representationfreshacceleratedlearning https://arxiv.org/abs/2601.17723 [2601.17723] Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An... Abstract page for arXiv paper 2601.17723: Implicit Neural Representation-Based Continuous Single Image Super-Resolution: An Empirical Benchmark image super resolutionneural representation https://deepai.org/publication/a-hybrid-mesh-neural-representation-for-3d-transparent-object-reconstruction A Hybrid Mesh-neural Representation for 3D Transparent Object Reconstruction | DeepAI Mar 23, 2022 - 03/23/22 - We propose a novel method to reconstruct the 3D shapes of transparent objects using hand-held captured images under natural light ... neural representationhybridmesh https://elifesciences.org/articles/48293/peer-reviews Peer review in Neural representation of newly instructed rule identities during early... Ventro-lateral prefrontal cortex codes novel rules starting from their first-time implementation right after instruction while early consolidation is channeled... peer reviewneural representation https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2015.00100/full Frontiers | Computational Modelling of the Neural Representation of Object Shape in the Primate... Neurons in successive stages of the primate ventral visual pathway encode the spatial structure of visual objects. In this paper, we investigate through comp... computational modellingof theneural representationfrontiers https://deepai.org/publication/continuous-spectral-reconstruction-from-rgb-images-via-implicit-neural-representation Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation | DeepAI Dec 24, 2021 - 12/24/21 - Existing methods for spectral reconstruction usually learn a discrete mapping from RGB images to a number of spectral bands. Howev... rgb imagesneural representationcontinuousspectralreconstruction https://openreview.net/forum?id=44cMlQSreK On Quantizing Neural Representation for Variable-Rate Video Coding | OpenReview This work introduces NeuroQuant, a novel post-training quantization (PTQ) approach tailored to non-generalized Implicit Neural Representations for... neural representationvariable ratevideo codingquantizingopenreview https://openreview.net/forum?id=rGFrRMBbOq&referrer=%5Bthe%20profile%20of%20DaHyun%20Kim%5D(%2Fprofile%3Fid%3D~DaHyun_Kim2) Progressive Fourier Neural Representation for Sequential Video Compilation | OpenReview Neural Implicit Representation (NIR) has recently gained significant attention due to its remarkable ability to encode complex and high-dimensional data into... neural representationvideo compilationprogressivefouriersequential https://openreview.net/forum?id=7LSEkvEGCM&referrer=%5Bthe%20profile%20of%20Siddhartha%20Mishra%5D(%2Fprofile%3Fid%3D~Siddhartha_Mishra1) Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning |... Recently, operator learning, or learning mappings between infinite-dimensional function spaces, has garnered significant attention, notably in relation to... neural operatorsrepresentationequivalent https://openreview.net/forum?id=UXzYUrWSzt&referrer=%5Bthe%20profile%20of%20Jie%20Huang%5D(%2Fprofile%3Fid%3D~Jie_Huang4) Neural degradation representation learning for all-in-one image restoration | OpenReview Existing methods have demonstrated effective performance on a single degradation type. In practical applications, however, the degradation is often unknown,... learning for allimage restorationneuraldegradationrepresentation https://openreview.net/forum?id=eajZxJm9gt&referrer=%5Bthe%20profile%20of%20Jiajun%20Bu%5D(%2Fprofile%3Fid%3D~Jiajun_Bu1) INRCT: An End-to-End Framework for Encoding and Generating Implicit Neural Representation |... Current diffusion models based on implicit neural representations (INRs) typically adopt a two-stage framework: an encoder is first trained to map signals into... an end https://openreview.net/forum?id=6dsvH7pQHH Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge... We propose a new method for layerwise representation learning of a trained neural network that conforms to the non-linearity of the layer's transfer function.... representation learningneural networkslayerwisebregman https://openreview.net/forum?id=aCgybhcZFi Enhancing Neural Network Transparency through Representation Analysis | OpenReview In this paper, we introduce and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems... neural networkenhancingtransparencyrepresentationanalysis https://github.com/mvdoc/famface GitHub - mvdoc/famface: Analysis code for "The neural representation of personally familiar and... Analysis code for "The neural representation of personally familiar and unfamiliar faces in the distributed system for face perception" by Visconti di Oleggio... https://arxiv.org/abs/2206.08077v1 [2206.08077v1] Neural Scene Representation for Locomotion on Structured Terrain Abstract page for arXiv paper 2206.08077v1: Neural Scene Representation for Locomotion on Structured Terrain 2206neuralscenerepresentationlocomotion https://openreview.net/forum?id=apZRm_0VClK&referrer=%5Bthe%20profile%20of%20Hedi%20Tabia%5D(%2Fprofile%3Fid%3D~Hedi_Tabia1) NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks |... A novel method improving Siamese Networks architecture using Neural Architecture Search. neural architecture searchrepresentation learningefficientusing https://research.google/pubs/layerwise-bregman-representation-learning-of-neural-networks-with-applications-to-knowledge-distillation/ Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge... representation learningneural networkslayerwisebregman https://openreview.net/forum?id=xJ3yuoOgpzr&referrer=%5Bthe%20profile%20of%20Yangang%20Wang%5D(%2Fprofile%3Fid%3D~Yangang_Wang3) DeepCloth: Neural Garment Representation for Shape and Style Editing | OpenReview Garment representation, editing and animation are challenging topics in the area of computer vision and graphics. It remains difficult for existing garment... neuralgarmentrepresentationshapestyle https://deepai.org/publication/hvh-learning-a-hybrid-neural-volumetric-representation-for-dynamic-hair-performance-capture HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture |... Dec 13, 2021 - 12/13/21 - Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical inter... https://openreview.net/forum?id=P02hoA7vln Neural varifolds: an aggregate representation for quantifying the geometry of point clouds |... Point clouds are popular 3D representations for real-life objects (such as in LiDAR and Kinect) due to their detailed and compact representation of... https://elifesciences.org/articles/48293/figures Figures and data in Neural representation of newly instructed rule identities during early... Ventro-lateral prefrontal cortex codes novel rules starting from their first-time implementation right after instruction while early consolidation is channeled... https://deepai.org/publication/neref-neural-refractive-field-for-fluid-surface-reconstruction-and-implicit-representation NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation | DeepAI Mar 8, 2022 - 03/08/22 - Existing neural reconstruction schemes such as Neural Radiance Field (NeRF) are largely focused on modeling opaque objects. We pre... https://openreview.net/forum?id=yhCp5RcZD7 Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields | OpenReview We present implicit displacement fields, a novel representation for detailed 3D geometry. Inspired by a classic surface deformation technique, displacement... geometryconsistentneuralshaperepresentation https://openreview.net/forum?id=J1rhANsCY9 Learning Representation from Neural Fisher Kernel with Low-rank Approximation | OpenReview In this paper, we study the representation of neural networks from the view of kernels. We first define the Neural Fisher Kernel (NFK), which is the Fisher... low rank approximationlearning representationfisher kernelneural https://elifesciences.org/articles/102890 Auditory perception and neural representation of temporal features are altered by age but not by... In aging gerbils, compromised temporal fine structure perception is explained by a more prominent representation in auditory nerve fibers of temporal... https://deepai.org/publication/prosodic-representation-learning-and-contextual-sampling-for-neural-text-to-speech Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech | DeepAI Nov 4, 2020 - 11/04/20 - In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with cont... neural text to speechrepresentation learning https://pmc.ncbi.nlm.nih.gov/articles/PMC6866591/ Singing in the brain: Neural representation of music and voice as revealed by fMRI - PMC The ubiquity of music across cultures as a means of emotional expression, and its proposed evolutionary relation to speech, motivated researchers to attempt a... https://arxiv.org/abs/2603.12286 [2603.12286] The DIME Architecture: A Unified Operational Algorithm for Neural Representation,... Abstract page for arXiv paper 2603.12286: The DIME Architecture: A Unified Operational Algorithm for Neural Representation, Dynamics, Control and Integration https://deepai.org/publication/rotation-and-translation-invariant-representation-learning-with-implicit-neural-representations Rotation and Translation Invariant Representation Learning with Implicit Neural Representations |... Apr 27, 2023 - 04/27/23 - In many computer vision applications, images are acquired with arbitrary or random rotations and translations, and in such setups,... translation invariantrepresentation learningrotationimplicitneural https://deepai.org/publication/task-driven-common-representation-learning-via-bridge-neural-network Task-Driven Common Representation Learning via Bridge Neural Network | DeepAI Jun 26, 2019 - 06/26/19 - This paper introduces a novel deep learning based method, named bridge neural network (BNN) to dig the potential relationship betw... representation learningneural networktaskdrivencommon https://aclanthology.org/2020.acl-main.160/ Overestimation of Syntactic Representation in Neural Language Models - ACL Anthology Jordan Kodner, Nitish Gupta. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. language modelssyntacticrepresentationneuralacl https://openreview.net/forum?id=c-4HSDAWua5 SketchODE: Learning neural sketch representation in continuous time | OpenReview Learning meaningful representations for chirographic drawing data such as sketches, handwriting, and flowcharts is a gateway for understanding and emulating... continuous timelearningneuralsketchrepresentation https://openreview.net/forum?id=iZ3me8unMJ Unsupervised learning on spontaneous retinal activity leads to efficient neural representation... Prior to the onset of vision, neurons in the developing mammalian retina spontaneously fire in correlated activity patterns known as retinal waves.... unsupervised learningactivity leadsspontaneousretinal https://www.coursera.org/articles/neural-network-graphs Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models |... Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and... neural networkthe visual https://www.amazon.science/publications/prosodic-representation-learning-and-contextual-sampling-for-neural-text-to-speech Prosodic representation learning and contextual sampling for neural text-to-speech - Amazon Science In this paper, we introduce Kathaka, a model trained with a novel two-stage training process for neural speech synthesis with contextually appropriate prosody.... neural text to speech https://openreview.net/forum?id=fLIWMnZ9ij Representation Alignment in Neural Networks | OpenReview It is now a standard for neural network representations to be trained on large, publicly available datasets, and used for new problems. The reasons for why... neural networksrepresentationalignmentopenreview https://arxiv.org/abs/2311.04521v1 [2311.04521v1] Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed... Abstract page for arXiv paper 2311.04521v1: Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2025.1468947/full Frontiers | Evidence of a hierarchical representation in bodily self-consciousness: the neural... IntroductionBodily Self-Consciousness (BSC) is the perception of bodily awareness that arises from the integration of neuronal signals in multiple sensory mo...