v1v2 (latest)

Attentive Neural Processes

17 January 2019

Hyunjik Kim

A. Mnih

Jonathan Richard Schwarz

Papers citing "Attentive Neural Processes"

50 / 292 papers shown

Title
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings Zimo Yan Zheng Xie Chang-rui Liu Y. X. R. Wang 71 0 0 24 Nov 2025
MIST: Mutual Information Via Supervised Training German Gritsai Megan Richards Maxime Méloux Kyunghyun Cho Maxime Peyrard OOD 283 0 0 24 Nov 2025
Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems Devin Hunter Chinwendu Enyioha 133 0 0 11 Nov 2025
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning Philipp Dahlinger Niklas Freymuth Tai Hoang Tobias Würth Michael Volpp Luise Kärger Gerhard Neumann AI4CE 244 0 0 07 Nov 2025
Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning Mara Daniels Liam Hodgkinson Michael W. Mahoney PINN AI4CE 287 0 0 30 Oct 2025
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025 Insu Jeon Youngjin Park Gunhee Kim BDL UQCV 291 3 0 22 Oct 2025
Functional Distribution Networks (FDN) Omer Haq UQCV 174 0 0 20 Oct 2025
On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery David Berghaus Patrick Seifner K. Cvejoski Ramses J. Sanchez AI4TS AI4CE 120 0 0 14 Oct 2025
MaNGO - Adaptable Graph Network Simulators via Meta-Learning Philipp Dahlinger Tai Hoang Denis Blessing Niklas Freymuth Gerhard Neumann AI4CE 213 1 0 07 Oct 2025
MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption Chen Li Zhantao Yang Han Zhang Fangyi Chen Chenchen Zhu Anudeepsekhar Bolimera Marios Savvides VLM 128 0 0 07 Oct 2025
Multi-task neural diffusion processes for uncertainty-quantified wind power prediction Joseph Rawson Domniki Ladopoulou Petros Dellaportas DiffM 100 0 0 03 Oct 2025
A Multi-Scale Graph Neural Process with Cross-Drug Co-Attention for Drug-Drug Interactions Prediction Zimo Yan Jie Zhang Zheng Xie Y. Song Hao Li 90 1 0 18 Sep 2025
Distance-informed Neural Processes Aishwarya Venkataramanan Joachim Denzler UQCV BDL 139 1 0 26 Aug 2025
GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Soumyasundar Pal Liheng Ma Amine Natik Yingxue Zhang Mark Coates UQCV 100 0 0 23 Aug 2025
Amortized In-Context Mixed Effect Transformer Models: A Zero-Shot Approach for Pharmacokinetics César Ali Ojeda Marin W. Huisinga Purity Kavwele Niklas Hartung 104 1 0 21 Aug 2025
Neural Bridge Processes Jian Xu Y. Liu Qibin Zhao John Paisley Delu Zeng DiffM 1.2K 0 0 10 Aug 2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes Sanghun Jung Daehoon Gwak Byron Boots James Hays 80 0 0 05 Aug 2025
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 186 5 0 09 Jun 2025
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Daolang Huang Xinyi Wen Ayush Bharti Samuel Kaski Luigi Acerbi 185 2 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 340 1 0 08 Jun 2025
Unsupervised Meta-Testing with Conditional Neural Processes for Hybrid Meta-Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2024 S. E. Ada Emre Ugur BDL 170 3 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 156 2 0 29 May 2025
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RLInternational Conference on Learning Representations (ICLR), 2025 Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 230 4 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 312 1 0 03 May 2025
LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms Ayman A. Ameen Thomas Richter André Kaup 243 0 0 30 Apr 2025
Learning Attentive Neural Processes for Planning with Pushing Actions Atharv Jain Seiji Shaw Nicholas Roy 912 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 Wenshu Fan Yiping Song 346 1 0 22 Apr 2025
Exploring Pseudo-Token Approaches in Transformer Neural Processes Jose Lara-Rangel Nanze Chen Fengzhe Zhang 167 1 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 355 15 0 17 Apr 2025
Sparse Gaussian Neural ProcessesSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 Tommy Rochussen Vincent Fortuin BDL UQCV 410 0 0 02 Apr 2025
Continual learning via probabilistic exchangeable sequence modelling Hanwen Xing Christopher Yau CLL BDL 294 0 0 26 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families Louis McConnell OOD CML 221 0 0 06 Mar 2025
PABBO: Preferential Amortized Black-Box OptimizationInternational Conference on Learning Representations (ICLR), 2025 Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 219 4 0 02 Mar 2025
Dimension Agnostic Neural ProcessesInternational Conference on Learning Representations (ICLR), 2025 Hyungi Lee Chaeyun Jang Dongbok Lee Juho Lee UQCV AI4CE 222 3 0 28 Feb 2025
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models Patrick Seifner K. Cvejoski David Berghaus C. Ojeda Ramses J. Sanchez DiffM 259 6 0 26 Feb 2025
Compact Latent Representation for Image Compression (CLRIC)International Conference on Information Photonics (ICIP), 2025 Ayman A. Ameen Thomas Richter André Kaup 349 0 0 24 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 257 9 0 10 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 450 8 0 04 Feb 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 316 0 0 04 Feb 2025
Bridge the Inference Gaps of Neural Processes via Expectation MaximizationInternational Conference on Learning Representations (ICLR), 2025 Q. Wang Marco Federici H. V. Hoof UQCV BDL 279 17 0 08 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingKnowledge Discovery and Data Mining (KDD), 2024 Daojun Liang Haixia Zhang Dongfeng Yuan UQCV 332 2 0 08 Jan 2025
Stochastic Process Learning via Operator Flow Matching Yaozhong Shi Zachary E. Ross D. Asimaki Kamyar Azizzadenesheli 510 5 0 07 Jan 2025
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 292 2 0 03 Nov 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 372 17 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 241 3 0 09 Oct 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Yang Li Jie Ma Miguel Ballesteros Yassine Benajiba Graham Horwood ELM 207 12 0 08 Oct 2024
Contextual Document EmbeddingsInternational Conference on Learning Representations (ICLR), 2024 John X. Morris Alexander M. Rush 444 15 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 209 0 0 02 Oct 2024
Expanding Expressivity in Transformer Models with MöbiusAttention Anna-Maria Halacheva M. Nayyeri Steffen Staab 195 1 0 08 Sep 2024
An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management SystemsKnowledge Discovery and Data Mining (KDD), 2024 Taeyoung Yun Kanghoon Lee Sujin Yun Ilmyung Kim Won-Woo Jung Min-Cheol Kwon Kyujin Choi Yoohyeon Lee Jinkyoo Park 270 1 0 14 Aug 2024