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Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 273 papers shown

Title
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Vahid Balazadeh Hamidreza Kamkari Valentin Thomas Benson Li Junwei Ma Jesse C. Cresswell Rahul G. Krishnan CML 22 0 0 09 Jun 2025
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang Xinyi Wen Ayush Bharti Samuel Kaski Luigi Acerbi 21 0 0 08 Jun 2025
End-to-End Probabilistic Framework for Learning with Hard Constraints Utkarsh Utkarsh Danielle C. Maddix Ruijun Ma Michael W. Mahoney Yuyang Wang AI4TS BDL 22 0 0 08 Jun 2025
Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement Learning S. E. Ada Emre Ugur BDL 59 1 0 04 Jun 2025
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference I. Nikoloska Hamdi Joudeh Ruud van Sloun Osvaldo Simeone 43 0 0 29 May 2025
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 73 1 0 28 May 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Jie Liu Pan Zhou Zehao Xiao Jiayi Shen Wenzhe Yin Jan-Jakob Sonke E. Gavves 83 0 0 03 May 2025
LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms Ayman A. Ameen Thomas Richter André Kaup 98 0 0 30 Apr 2025
Learning Attentive Neural Processes for Planning with Pushing Actions Atharv Jain Seiji Shaw Nicholas Roy 423 1 0 24 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Yang Liu Yiping Song 115 0 0 22 Apr 2025
Exploring Pseudo-Token Approaches in Transformer Neural Processes Jose Lara-Rangel Nanze Chen Fengzhe Zhang 58 0 0 19 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 177 4 0 17 Apr 2025
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 198 0 0 02 Apr 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 104 0 0 06 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 89 1 0 02 Mar 2025
Dimension Agnostic Neural Processes Hyungi Lee Chaeyun Jang Dongbok Lee Juho Lee UQCV AI4CE 87 1 0 28 Feb 2025
Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation Patrick Seifner K. Cvejoski David Berghaus C. Ojeda Ramses J. Sanchez DiffM 108 1 0 26 Feb 2025
Compact Latent Representation for Image Compression (CLRIC) Ayman A. Ameen Thomas Richter André Kaup 158 0 0 24 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 114 2 0 10 Feb 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 174 0 0 04 Feb 2025
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli 166 3 0 10 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting Daojun Liang Haixia Zhang Dongfeng Yuan UQCV 146 0 0 08 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q. Wang Marco Federici H. V. Hoof UQCV BDL 127 15 0 08 Jan 2025
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 115 2 0 03 Nov 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 106 8 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 64 1 0 09 Oct 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Yang Li Jie Ma Miguel Ballesteros Yassine Benajiba Graham Horwood ELM 76 6 0 08 Oct 2024
Contextual Document Embeddings John X. Morris Alexander M. Rush 95 9 0 03 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin Gustaf Tegnér Miguel Vasco Hang Yin Mårten Björkman Danica Kragic 80 0 0 02 Oct 2024
Expanding Expressivity in Transformer Models with MöbiusAttention Anna-Maria Halacheva M. Nayyeri Steffen Staab 78 1 0 08 Sep 2024
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems Taeyoung Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon Kyujin Choi Yoohyeon Lee Jinkyoo Park 105 0 0 14 Aug 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 155 7 0 28 Jul 2024
In-Context In-Context Learning with Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller Richard E. Turner 101 3 0 19 Jun 2024
Approximately Equivariant Neural Processes Matthew Ashman Cristiana-Diana Diaconu Adrian Weller W. Bruinsma Richard E. Turner BDL 91 1 0 19 Jun 2024
Translation Equivariant Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Junhyuck Kim Lakee Sivaraya Stratis Markou James Requeima W. Bruinsma Richard E. Turner 98 6 0 18 Jun 2024
Estimating the Hallucination Rate of Generative AI Andrew Jesson Nicolas Beltran-Velez Quentin Chu Sweta Karlekar Jannik Kossen Yarin Gal John P. Cunningham David M. Blei 118 12 0 11 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing Becky D Langdon Robert M. Lee B. Shafei Mark van der Wilk Calvin Tsay Ruth Misener 73 3 0 04 Jun 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen Tao Chen Peng Ye Hao Chen Kang Chen Tao Han Wanli Ouyang Lei Bai 82 6 0 03 Jun 2024
Does learning the right latent variables necessarily improve in-context learning? Sarthak Mittal Eric Elmoznino Léo Gagnon Sangnie Bhardwaj Tom Marty Dhanya Sridhar Guillaume Lajoie 96 7 0 29 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 97 6 0 27 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 110 0 0 25 May 2024
Spectral Convolutional Conditional Neural Processes Peiman Mohseni Nick Duffield 81 3 0 19 Apr 2024
On permutation-invariant neural networks Masanari Kimura Ryotaro Shimizu Yuki Hirakawa Ryosuke Goto Yuki Saito OOD AAML 94 12 0 26 Mar 2024
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes Seokhyun Chung Raed Al Kontar 78 0 0 25 Mar 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs S. C. Mouli Danielle C. Maddix S. Alizadeh Gaurav Gupta Andrew Stuart Michael W. Mahoney Yuyang Wang UQCV AI4CE 74 5 0 15 Mar 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack Jaehyung Kim Eric Mitchell Jinwoo Shin Yee Whye Teh Jonathan Richard Schwarz KELM 99 20 0 07 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 63 11 0 05 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu D. Wu Kai Kim Yi-An Ma D. Watson‐Parris Rose Yu AI4CE 85 4 0 29 Feb 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 111 13 0 27 Feb 2024
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking Momir Adzemovic Predrag Tadić Andrija Petrović Mladen Nikolic 117 5 0 15 Feb 2024