Papers
2,605 papers found
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Pashupati Hegde, Çağatay Yıldız, Harri Lähdesmäki et al.
Laplace approximated Gaussian process state-space models
Jakob Lindinger, Barbara Rakitsch, Christoph Lippert
Low-precision arithmetic for fast Gaussian processes
Wesley J. Maddox, Andres Potapcynski, Andrew Gordon Wilson
Neural ensemble search via Bayesian sampling
Yao Shu, Yizhou Chen, Zhongxiang Dai et al.
Learning linear non-Gaussian polytree models
Daniele Tramontano, Anthea Monod, Mathias Drton
Robust Gaussian process regression with the trimmed marginal likelihood
Daniel Andrade, Akiko Takeda
Learning Choice Functions with Gaussian Processes
Alessio Benavoli, Dario Azzimonti, Dario Piga
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
Matthias Bitzer, Mona Meister, Christoph Zimmer
Deep Gaussian mixture ensembles
Yousef El-Laham, Niccolo Dalmasso, Elizabeth Fons et al.
Revisiting Bayesian network learning with small vertex cover
Juha Harviainen, Mikko Koivisto
Gaussian Process Surrogate Models for Neural Networks
Michael Y. Li, Erin Grant, Thomas L. Griffiths
Benefits of monotonicity in safe exploration with Gaussian processes
Arpan Losalka, Jonathan Scarlett
Practical privacy-preserving Gaussian process regression via secret sharing
Jinglong Luo, Yehong Zhang, Jiaqi Zhang et al.
Graph classification Gaussian processes via spectral features
Felix L. Opolka, Yin-Cong Zhi, Pietro Liò et al.
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models
Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart
Weakly Supervised Gaussian Networks for Action Detection
Basura Fernando, Cheston Tan, Hakan Bilen
ATM: Attentional Text Matting
Peng Kang, Jianping Zhang, Chen Ma et al.
Splatty- a Unified Image Demosaicing and Rectification Method
Pranav Verma, Dominique E. Meyer, Hanyang Xu et al.
Self-Supervised Poisson-Gaussian Denoising
Wesley Khademi, Sonia Rao, Clare Minnerath et al.
Hessian-Aware Pruning and Optimal Neural Implant
Shixing Yu, Zhewei Yao, Amir Gholami et al.
Latent Reweighting, an Almost Free Improvement for GANs
Thibaut Issenhuth, Ugo Tanielian, David Picard et al.
Evaluating Generative Networks Using Gaussian Mixtures of Image Features
Lorenzo Luzi, Carlos Ortiz Marrero, Nile Wynar et al.
Video Object Matting via Hierarchical Space-Time Semantic Guidance
Yumeng Wang, Bo Xu, Ziwen Li et al.
SGPCR: Spherical Gaussian Point Cloud Representation and Its Application To Object Registration and Retrieval
Driton Salihu, Eckehard Steinbach
Overlap-Guided Gaussian Mixture Models for Point Cloud Registration
Guofeng Mei, Fabio Poiesi, Cristiano Saltori et al.