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Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 292 papers shown

Title
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 152 0 0 16 Jun 2023
Taylorformer: Probabilistic Predictions for Time Series and other Processes Omer Nivron R. Parthipan Damon J. Wischik BDL AI4TS 180 2 0 30 May 2023
Adaptive Conditional Quantile Neural ProcessesConference on Uncertainty in Artificial Intelligence (UAI), 2023 Peiman Mohseni N. Duffield Bani Mallick Arman Hasanzadeh 273 4 0 30 May 2023
Graph Neural Processes for Spatio-Temporal ExtrapolationKnowledge Discovery and Data Mining (KDD), 2023 Junfeng Hu Yuxuan Liang Zhencheng Fan Hongyang Chen Yu Zheng Roger Zimmermann BDL 274 26 0 30 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural ProcessesNeural Information Processing Systems (NeurIPS), 2023 A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 374 25 0 25 May 2023
Manifold Diffusion FieldsInternational Conference on Learning Representations (ICLR), 2023 Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 264 9 0 24 May 2023
Deep Stochastic Processes via Functional Markov Transition OperatorsNeural Information Processing Systems (NeurIPS), 2023 Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 201 5 0 24 May 2023
Memory Efficient Neural Processes via Constant Memory Attention BlockInternational Conference on Machine Learning (ICML), 2023 Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 294 8 0 23 May 2023
Disentangled Multi-Fidelity Deep Bayesian Active LearningInternational Conference on Machine Learning (ICML), 2023 D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 250 9 0 07 May 2023
Martingale Posterior Neural ProcessesInternational Conference on Learning Representations (ICLR), 2023 Hyungi Lee Eunggu Yun G. Nam Edwin Fong Juho Lee UQCV 159 11 0 19 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 180 39 0 17 Apr 2023
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture CommandsIEEE Robotics and Automation Letters (RA-L), 2023 Rui Chen Alvin C M Shek Changliu Liu 95 5 0 12 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty EstimationNeural Information Processing Systems (NeurIPS), 2023 M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 238 11 0 04 Apr 2023
Autoregressive Conditional Neural ProcessesInternational Conference on Learning Representations (ICLR), 2023 W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 202 31 0 25 Mar 2023
Adversarially Contrastive Estimation of Conditional Neural Processes Zesheng Ye Jing Du Weitong Chen UQCV 145 3 0 23 Mar 2023
Diffusion Probabilistic FieldsInternational Conference on Learning Representations (ICLR), 2023 Peiye Zhuang Samira Abnar Jiatao Gu Alex Schwing Joshua M. Susskind Miguel Angel Bautista DiffM 214 31 0 01 Mar 2023
Learning Physical Models that Can Respect Conservation LawsInternational Conference on Machine Learning (ICML), 2023 Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 362 62 0 21 Feb 2023
Variational Autoencoding Neural OperatorsInternational Conference on Machine Learning (ICML), 2023 Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 211 15 0 20 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 216 7 0 16 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 649 69 0 14 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yan Zhao Yu Shen Xinyi Zhang Wentao Zhang Tengjiao Wang BDL 207 46 0 12 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 191 0 0 31 Jan 2023
Meta Temporal Point ProcessesInternational Conference on Learning Representations (ICLR), 2023 Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 110 22 0 27 Jan 2023
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and PredictionConference on Uncertainty in Artificial Intelligence (UAI), 2023 Chen Gao Bin Li OCL 242 6 0 21 Jan 2023
Versatile Neural Processes for Learning Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2023 Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 258 13 0 21 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 Wen-Hsiao Peng Ching-Chun Huang 195 1 0 14 Dec 2022
Diffusion Generative Models in Infinite DimensionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Gavin Kerrigan Justin Ley Padhraic Smyth DiffM 340 43 0 01 Dec 2022
Evidential Conditional Neural ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2022 Deepshikha Pandey Qi Yu BDL EDL UQCV 170 17 0 30 Nov 2022
Differentiable User ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2022 Alex Hamalainen Mustafa Mert cCelikok Samuel Kaski 238 3 0 29 Nov 2022
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse GraphsWeb Search and Data Mining (WSDM), 2022 Linhao Luo Reza Haffari Shirui Pan AI4TS 187 37 0 15 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to PracticeJournal of machine learning research (JMLR), 2022 Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 333 11 0 14 Nov 2022
Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionInternational Conference on Machine Learning (ICML), 2022 Marin Bilos Kashif Rasul Anderson Schneider Yuriy Nevmyvaka Stephan Günnemann DiffM 269 48 0 04 Nov 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary PriorInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yohan Jung Jinkyoo Park BDL 153 1 0 22 Oct 2022
Inference from Real-World Sparse Measurements Arnaud Pannatier Kyle Matoba François Fleuret AI4TS 261 0 0 20 Oct 2022
A unified model for continuous conditional video prediction Xi Ye Guillaume-Alexandre Bilodeau AI4TS 230 8 0 11 Oct 2022
Continuous PDE Dynamics Forecasting with Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2022 Yuan Yin Matthieu Kirchmeyer Jean-Yves Franceschi A. Rakotomamonjy Patrick Gallinari AI4CE 218 68 0 29 Sep 2022
Spectral Diffusion Processes Angus Phillips Thomas Seror M. Hutchinson Valentin De Bortoli Arnaud Doucet Emile Mathieu DiffM 249 21 0 28 Sep 2022
NIERT: Accurate Numerical Interpolation through Unifying Scattered Data Representations using Transformer EncoderIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Shi-qi Ding Boyang Xia Milong Ren Dongbo Bu 140 3 0 19 Sep 2022
Compositional Law Parsing with Latent Random FunctionsInternational Conference on Learning Representations (ICLR), 2022 Fan Shi Bin Li Xiangyang Xue CoGe 205 5 0 15 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner Weitong Chen BDL 441 27 0 01 Sep 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential RecommendationWeb Search and Data Mining (WSDM), 2022 Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 129 16 0 09 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesNeural Information Processing Systems (NeurIPS), 2022 Shivam Garg Dimitris Tsipras Abigail Z. Jacobs Gregory Valiant 605 665 0 01 Aug 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence ModelingInternational Conference on Machine Learning (ICML), 2022 Tung Nguyen Aditya Grover BDL UQCV 279 132 0 09 Jul 2022
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units Javad Ansarifar Faezeh Akhavizadegan Lizhi Wang 70 1 0 02 Jul 2022
CARD: Classification and Regression Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022 Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 293 142 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 237 5 0 14 Jun 2022
Multi-fidelity Hierarchical Neural ProcessesKnowledge Discovery and Data Mining (KDD), 2022 D. Wu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 178 19 0 10 Jun 2022
Neural Diffusion ProcessesInternational Conference on Machine Learning (ICML), 2022 Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 353 48 0 08 Jun 2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the CloudKnowledge Discovery and Data Mining (KDD), 2022 Siqiao Xue Chao Qu Xiaoming Shi Cong Liao Shiyi Zhu ... Yun Hu Lei Lei Yang Zheng Jianguo Li James Y. Zhang 215 55 0 31 May 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 338 55 0 30 May 2022