gaussian priors

Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior CVPR 2026 Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret ICML 2025 GGTalker: Talking Head Systhesis with Generalizable Gaussian Priors and Identity-Specific Adaptation ICCV 2025 CellPLM: Pre-training of Cell Language Model Beyond Single Cells ICLR 2024 Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks ICML 2024 One-hot Generalized Linear Model for Switching Brain State Discovery ICLR 2024 D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation ICCV 2023 Bayesian Neural Network Priors Revisited ICLR 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Precise characterization of the prior predictive distribution of deep ReLU networks NeurIPS 2021 Data-dependent Gaussian Prior Objective for Language Generation ICLR 2020 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020 Gaussian Transformer: A Lightweight Approach for Natural Language Inference AAAI 2019 PAC-Bayes bounds for stable algorithms with instance-dependent priors NeurIPS 2018 Scaling the Poisson GLM to massive neural datasets through polynomial approximations NeurIPS 2018 Regularized Laplacian Estimation and Fast Eigenvector Approximation NeurIPS 2011 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009