neural encoding - Robuta Search

https://arxiv.org/abs/2505.08831 [2505.08831] Neural encoding of real world face perception Abstract page for arXiv paper 2505.08831: Neural encoding of real world face perception neural encoding real world 2505 08831 face https://openreview.net/forum?id=Ci2-l99ULp4&referrer=%5Bthe%20profile%20of%20Mohammad%20Bashiri%5D(%2Fprofile%3Fid%3D~Mohammad_Bashiri3) Bayesian Oracle for bounding information gain in neural encoding models | OpenReview We provide a method to obtain upper bounds of information gain in order to evaluate neural encoding models information gain neural encoding bayesian oracle bounding https://openreview.net/forum?id=RUkMMpiSbM Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis | OpenReview Gaussian Process Factor Analysis (GPFA) is a powerful factor analysis model for extracting low-dimensional latent processes underlying population neural... neural encoding gaussian process factor analysis uncovering variability https://openreview.net/forum?id=Ci2-l99ULp4 Bayesian Oracle for bounding information gain in neural encoding models | OpenReview We provide a method to obtain upper bounds of information gain in order to evaluate neural encoding models information gain neural encoding bayesian oracle bounding https://arxiv.org/abs/2512.06982 [2512.06982] LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding Abstract page for arXiv paper 2512.06982: LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding 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=u8TZ9gm4im Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity |... Recent advances in text-guided image compression have shown great potential to enhance the perceptual quality of reconstructed images. These methods, however,... https://pmc.ncbi.nlm.nih.gov/articles/PMC6576290/ Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall - PMC We demonstrate here the first successful implementation in humans of a proof-of-concept system for restoring and improving memory function via facilitation of... https://openreview.net/forum?id=YxKJihRcby Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) | OpenReview Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it... deep neural networks brain alignment encoding decoding https://deepai.org/publication/pet-neus-positional-encoding-tri-planes-for-neural-surfaces PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces | DeepAI May 9, 2023 - 05/09/23 - A signed distance function (SDF) parametrized by an MLP is a common ingredient of neural surface reconstruction. We build on the s... positional encoding pet neus tri planes https://pmc.ncbi.nlm.nih.gov/articles/PMC19469/ Neural correlates of the episodic encoding of pictures and words - PMC A striking characteristic of human memory is that pictures are remembered better than words. We examined the neural correlates of memory for pictures and words... neural correlates of the episodic encoding pictures https://deepai.org/publication/secoco-self-correcting-encoding-for-neural-machine-translation Secoco: Self-Correcting Encoding for Neural Machine Translation | DeepAI Aug 27, 2021 - 08/27/21 - This paper presents Self-correcting Encoding (Secoco), a framework that effectively deals with input noise for robust neural machi... neural machine translation self correcting encoding deepai https://openreview.net/forum?id=e95i1IHcWj Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks | OpenReview Graph neural networks (GNN) have shown great advantages in many graph-based learning tasks but often fail to predict accurately for a task-based on sets of... graph neural networks positional encoding for more https://openreview.net/forum?id=TuCQdBo4NC FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor |... Currently, researchers think that the inherent robustness of spiking neural networks (SNNs) stems from their biologically plausible spiking neurons, and are... spiking neural networks