Rényi Neural Processes

25 May 2024

Papers citing "Rényi Neural Processes"

50 / 53 papers shown

Title
Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q. Wang Marco Federici H. V. Hoof UQCV BDL 92 14 0 08 Jan 2025
Convolutional Conditional Neural Processes Wessel P. Bruinsma 24 2 0 18 Aug 2024
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner Zonghao Chen Yee Whye Teh Y. Gal 105 42 0 28 Dec 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha Dong Gong He Zhao Lina Yao CLL BDL 56 15 0 30 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 58 11 0 28 Oct 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 102 9 0 19 Jun 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 58 10 0 30 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 42 17 0 25 May 2023
Learning Robust Statistics for Simulation-based Inference under Model Misspecification Daolang Huang Ayush Bharti Amauri Souza Luigi Acerbi Samuel Kaski 67 34 0 25 May 2023
Martingale Posterior Neural Processes Hyungi Lee Eunggu Yun G. Nam Edwin Fong Juho Lee UQCV 35 7 0 19 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 53 30 0 17 Apr 2023
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation M. Jung He Zhao Joanna Dipnall Lan Du UQCV BDL 42 8 0 04 Apr 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 66 25 0 25 Mar 2023
Random Grid Neural Processes for Parametric Partial Differential Equations Arnaud Vadeboncoeur Ieva Kazlauskaite Y. Papandreou F. Cirak Mark Girolami Ömer Deniz Akyildiz AI4CE 53 11 0 26 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 54 13 0 21 Jan 2023
A Tutorial on Parametric Variational Inference Jens Sjölund BDL 55 6 0 03 Jan 2023
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 41 11 0 12 Oct 2022
Investigating the Impact of Model Misspecification in Neural Simulation-based Inference Patrick W Cannon Daniel Ward Sebastian M. Schmon 60 36 0 05 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 126 24 0 01 Sep 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence Kyungmin Lee Jinwoo Shin SSL DRL 65 10 0 12 Aug 2022
Correcting Model Bias with Sparse Implicit Processes Simón Rodríguez Santana Luis A. Ortega Andrés Daniel Hernández-Lobato B. Zaldívar BDL 29 1 0 21 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen Aditya Grover BDL UQCV 63 106 0 09 Jul 2022
Neural Diffusion Processes Vincent Dutordoir Alan D. Saul Zoubin Ghahramani F. Simpson DiffM 72 41 0 08 Jun 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning Haokun Liu Derek Tam Mohammed Muqeeth Jay Mohta Tenghao Huang Joey Tianyi Zhou Colin Raffel 84 899 0 11 May 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard Turner UQCV AI4CE 54 25 0 16 Mar 2022
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 53 8 0 10 Nov 2021
Function-space Inference with Sparse Implicit Processes Simón Rodríguez Santana B. Zaldívar Daniel Hernández-Lobato 51 12 0 14 Oct 2021
Global Convolutional Neural Processes Xuesong Wang Lina Yao Xianzhi Wang Hye-Young Paik Sen Wang BDL AI4CE 60 5 0 02 Sep 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 43 40 0 09 May 2021
Bayesian Inference with Certifiable Adversarial Robustness Matthew Wicker Luca Laurenti A. Patané Zhoutong Chen Zheng Zhang Marta Z. Kwiatkowska AAML BDL 102 30 0 10 Feb 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 265 31 0 23 Oct 2020
f-Divergence Variational Inference Neng Wan Dapeng Li N. Hovakimyan 54 35 0 28 Sep 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables Q. Wang H. V. Hoof BDL 39 42 0 21 Aug 2020
Bootstrapping Neural Processes Juho Lee Yoonho Lee Jungtaek Kim Eunho Yang Sung Ju Hwang Yee Whye Teh UQCV BDL 53 43 0 07 Aug 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Y. K. Foong W. Bruinsma Jonathan Gordon Yann Dubois James Requeima Richard Turner BDL 49 78 0 02 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 36 94 0 23 Jun 2020
Convolutional Conditional Neural Processes Jonathan Gordon W. Bruinsma Andrew Y. K. Foong James Requeima Yann Dubois Richard Turner BDL 72 166 0 29 Oct 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 66 242 0 18 Jun 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 69 106 0 03 Apr 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 88 440 0 17 Jan 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 251 280 0 03 Dec 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 81 514 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 85 700 0 04 Jul 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 75 70 0 06 Jun 2018
Alpha-Beta Divergence For Variational Inference Jean-Baptiste Regli Ricardo M. A. Silva BDL 130 24 0 02 May 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 183 914 0 28 Feb 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 155 690 0 15 Nov 2017
Variational Inference based on Robust Divergences Futoshi Futami Issei Sato Masashi Sugiyama BDL OOD 58 67 0 18 Oct 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 323 2,459 0 10 Mar 2017
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 85 262 0 06 Feb 2016