Conditional Neural Processes

4 July 2018

Danilo Jimenez Rezende

Papers citing "Conditional Neural Processes"

50 / 111 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
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Lars Ullrich Zurab Mujirishvili Knut Graichen 57 0 0 25 Apr 2025
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design Zimo Yan Jie Zhang Zheng Xie Chang-rui Liu Y. Liu Yiping Song 36 0 0 22 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
Robust Simulation-Based Inference under Missing Data via Neural Processes Yogesh Verma Ayush Bharti Vikas K. Garg 68 0 0 03 Mar 2025
FuncGenFoil: Airfoil Generation and Editing Model in Function Space Jinouwen Zhang Junjie Ren A. Yang Yan Lu Lu Chen Hairun Xie Jing Wang Miao Zhang W. Ouyang Shixiang Tang 159 0 0 15 Feb 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 85 3 0 17 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 44 2 0 03 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
Deep Optimal Sensor Placement for Black Box Stochastic Simulations Paula Cordero-Encinar Tobias Schröder P. Yatsyshin Andrew Duncan 45 0 0 15 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
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 72 3 0 20 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 71 1 0 12 Jun 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park Jungwon Choi Sungbin Lim Juho Lee 50 3 0 31 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion Kuang-Da Wang Wei-Yao Wang Ping-Chun Hsieh Wenjie Peng OffRL 34 0 0 19 Mar 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 40 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 25 2 0 16 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 36 5 0 13 Oct 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 39 23 0 20 Aug 2023
Towards a population-informed approach to the definition of data-driven models for structural dynamics G. Tsialiamanis N. Dervilis D. Wagg K. Worden AI4CE 29 5 0 19 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 21 70 0 10 Jul 2023
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 17 0 0 21 Jun 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision A. Tewari Tianwei Yin George Cazenavette Semon Rezchikov J. Tenenbaum F. Durand William T. Freeman Vincent Sitzmann DiffM 43 88 0 20 Jun 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 25 5 0 23 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 35 7 0 17 May 2023
Variational Autoencoding Neural Operators Jacob H. Seidman Georgios Kissas George J. Pappas P. Perdikaris DRL AI4CE 25 7 0 20 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq R. Joty VLM LRM 23 15 0 16 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
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 24 48 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search Onur Berk Töre Farzin Negahbani Barış Akgün 11 1 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
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 31 72 0 08 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 40 10 0 01 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 26 1 0 29 Nov 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 13 2 0 22 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
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning Wenqi Ren Qiyu Sun Chaoqiang Zhao Yang Tang 23 3 0 14 Nov 2022
A unified model for continuous conditional video prediction Xi Ye Guillaume-Alexandre Bilodeau AI4TS 37 7 0 11 Oct 2022
Learning Social Navigation from Demonstrations with Conditional Neural Processes Yigit Yildirim Emre Ugur 19 8 0 07 Oct 2022
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning N. Prabhu N. Lehmann-Willenbrock Timo Gerkmann UQCV 13 6 0 30 Sep 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
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 20 4 0 24 Aug 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