Neural Processes

4 July 2018

M. Garnelo

Jonathan Richard Schwarz

Dan Rosenbaum

Fabio Viola

Danilo Jimenez Rezende

Papers citing "Neural Processes"

50 / 89 papers shown

Title
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu Pan Zhou Zehao Xiao Jiayi Shen Wenzhe Yin J. Sonke E. Gavves 31 0 0 03 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 90 0 0 27 Apr 2025
Conditional Temporal Neural Processes with Covariance Loss Boseon Yoo Jiwoo Lee Janghoon Ju Seijun Chung Soyeon Kim Jaesik Choi 70 15 0 01 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 126 1 0 10 Mar 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation Xiaodong Li Hengzhu Tang Jiawei Sheng Xinghua Zhang Li Gao Suqi Cheng Dawei Yin Tingwen Liu DiffM 71 1 0 20 Jan 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 49 4 0 20 Oct 2024
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data Matthew Ashman Cristiana-Diana Diaconu Eric Langezaal Adrian Weller Richard E. Turner AI4TS 36 1 0 09 Oct 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 53 6 0 28 Jul 2024
Smooth Path Planning Using a Gaussian Process Regression Map for Mobile Robot Navigation Quentin Serdel J. Marzat Julien Moras GP 18 1 0 08 Jul 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard E. Turner 68 1 0 12 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 68 24 0 31 May 2024
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process S. Sun Wenyuan Chen Zihao Zhou Sonia Fereidooni Elise Jortberg Rose Yu AI4CE 42 0 0 28 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 38 15 0 22 Feb 2024
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 24 2 0 09 Nov 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 23 2 0 16 Oct 2023
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model Suresh Guttikonda Jan Achterhold Haolong Li Joschka Boedecker Joerg Stueckler 29 2 0 18 Jul 2023
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 17 0 0 21 Jun 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 23 5 0 23 May 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 23 2 0 23 May 2023
Full Scaling Automation for Sustainable Development of Green Data Centers Shiyu Wang Yinbo Sun X. Shi Shiyi Zhu Linfao Ma James Y. Zhang Yifei Zheng Jian Liu 30 8 0 01 May 2023
Experience-Based Evolutionary Algorithms for Expensive Optimization Xunzhao Yu Yan Wang Ling Zhu Dimitar Filev Xin Yao 9 2 0 09 Apr 2023
$$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States$ $\infty$ -Diff: Infinite Resolution Diffusion with Subsampled Mollified States Sam Bond-Taylor Chris G. Willcocks 32 15 0 31 Mar 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 25 7 0 20 Feb 2023
Score-based Diffusion Models in Function Space Jae Hyun Lim Nikola B. Kovachki Ricardo Baptista Christopher Beckham Kamyar Azizzadenesheli ... Karsten Kreis Jan Kautz Christopher Pal Arash Vahdat Anima Anandkumar DiffM 70 37 0 14 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 37 29 0 12 Feb 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
ExReg: Wide-range Photo Exposure Correction via a Multi-dimensional Regressor with Attention Tzu-Hao Chiang Hao-Chien Hsueh Ching-Chun Hsiao Ching-Chun Huang 27 1 0 14 Dec 2022
Evidential Conditional Neural Processes Deepshikha Pandey Qi Yu BDL EDL UQCV 12 13 0 30 Nov 2022
Differentiable User Models Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 23 1 0 29 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 28 30 0 15 Nov 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 27 4 0 24 Oct 2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme AI4TS 22 5 0 05 Oct 2022
Compositional Law Parsing with Latent Random Functions Fan Shi Bin Li Xiangyang Xue CoGe 19 4 0 15 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 21 447 0 01 Aug 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 19 99 0 09 Jul 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 40 109 0 15 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 23 25 0 12 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 22 5 0 08 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates A. Maraval Matthieu Zimmer Antoine Grosnit Rasul Tutunov Jun Wang H. Ammar 25 2 0 27 May 2022
Variable-Input Deep Operator Networks Michael Prasthofer Tim De Ryck Siddhartha Mishra 42 23 0 23 May 2022
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel Ziyang Jiang Tongshu Zheng Yiling Liu David Carlson 30 4 0 15 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 21 20 0 11 Apr 2022
Continual Learning of Multi-modal Dynamics with External Memory Abdullah Akgul Gözde B. Ünal M. Kandemir CLL 19 0 0 02 Mar 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 19 139 0 20 Dec 2021
A Probabilistic Hard Attention Model For Sequentially Observed Scenes Samrudhdhi B. Rangrej James J. Clark 24 12 0 15 Nov 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 16 8 0 10 Nov 2021