Point Prediction

Point prediction, the task of estimating a single value for a target variable, is a core problem across numerous scientific and engineering domains. Current research emphasizes improving prediction accuracy and reliability, particularly focusing on addressing limitations of traditional point-wise methods by incorporating contextual information (e.g., spatial or temporal dependencies) through advanced architectures like neural networks (including CNNs and Transformers) and novel algorithms such as conformal prediction. This focus on enhanced accuracy and the development of methods providing reliable uncertainty quantification (e.g., prediction intervals) is crucial for building trustworthy and robust predictive models with applications ranging from autonomous driving to medical image analysis.

Papers

September 30, 2024

SetPINNs: Set-based Physics-informed Neural Networks
Mayank Nagda, Phil Ostheimer, Thomas Specht, Frank Rhein, Fabian Jirasek, Marius Kloft, Sophie Fellenz
Physic Informed Neural Network Physical System Reg PINNs Complex Physical System Physical Constraint Point Prediction

August 18, 2024

Deep Limit Model-free Prediction in Regression
Kejin Wu, Dimitris N. Politis
Novel Regression Model Free Free Learning Point Prediction

August 6, 2024

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
Zhen Qin, Junru Wu, Jiaming Shen, Tianqi Liu, Xuanhui Wang
Shot Learning Shot Classification Speech Detection Latent Action Point Prediction

August 2, 2024

Point Prediction for Streaming Data
Aleena Chanda, N. V. Vinodchandran, Bertrand Clarke
Streaming Data Point Prediction Dirichlet Prior Prediction Problem

July 2, 2024

Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints
Kazumi Kasaura
Faithful Generation Actor Critic Shortest Path Generalized Geodesic Actor Critic Reinforcement Learning Global Path Planning Point Prediction Randomized Midpoint

June 18, 2024

Investigating Data Usage for Inductive Conformal Predictors
Yizirui Fang, Anthony Bellotti
Prediction Set Point Prediction Conformal Predictor Inductive Conformal Point to Point ICP Calibration Set Data Consumer

June 5, 2024

Normalizing Flows for Conformal Regression
Nicolo Colombo
Normalizing Flow Conformal Prediction Prediction Error Conformal Regression Point Prediction

May 30, 2024

Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Graph Neural Network High Uncertainty Anticipation Latent Graph Prediction Task Point Prediction

May 14, 2024

Joint Prediction Regions for time-series models
Eshant English
Human Prediction Time Series Prediction Interval Joint predictioN Point Prediction Rating Meaningfulness

February 11, 2024

Self-Calibrating Conformal Prediction
Lars van der Laan, Ahmed M. Alaa
Conformal Prediction Prediction Interval Model Prediction Finite Sample Guarantee Point Prediction

January 24, 2024

ADMap: Anti-disturbance framework for reconstructing online vectorized HD map
Haotian Hu, Fanyi Wang, Yaonong Wang, Laifeng Hu, Jingwei Xu, Zhiwang Zhang
Autonomous Driving Point Prediction Vectorized HD Map Construction Model Jitter Disturbance Injection

December 15, 2023

Reliable Prediction Intervals with Regression Neural Networks
Harris Papadopoulos, Haris Haralambous
Conformal Prediction Prediction Interval Point Prediction Regression Network Conventional Neural Network

October 28, 2023

Stability of Random Forests and Coverage of Random-Forest Prediction Intervals
Yan Wang, Huaiqing Wu, Dan Nettleton
Random Forest Core Stability Higher Coverage Rate Point Prediction Interval Prediction Random Forest Prediction Coverage Probability

August 31, 2023

PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
Wenjie Ding, Limeng Qiao, Xi Qiu, Chi Zhang
High Definition Map Map Representation Point Prediction Vectorized High Definition Dynamic Point Map Element Learning

November 15, 2022

A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning
Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Hao Zheng, Peixian Liang, Danny Z. Chen
Exceptional Point Neural Volumetric 3D Pre Training Point Prediction Dense Vision Task Edge Aware Reconstruction

November 4, 2022

UV R-CNN: Stable and Efficient Dense Human Pose Estimation
Wenhe Jia, Yilin Zhou, Xuhan Zhu, Mengjie Hu, Chun Liu, Qing Song
Point Prediction Dense Pose Densepose Model

August 5, 2022

Driving Points Prediction For Abdominal Probabilistic Registration
Samuel Joutard, Reuben Dorent, Sebastien Ourselin, Tom Vercauteren, Marc Modat
Pre Registration Point Prediction Large Displacement Abdominal CT Registration Probabilistic Registration

June 23, 2022

Inductive Conformal Prediction: A Straightforward Introduction with Examples in Python
Martim Sousa
Human Prediction Classification Model Fewer Example Brief Introduction Point Prediction Inductive Conformal

December 16, 2021

Toward Minimal Misalignment at Minimal Cost in One-Stage and Anchor-Free Object Detection
Shuaizheng Hao, Hongzhe Liu, Ningwei Wang, Cheng Xu
Object Detection Model Anchor Free Object Point Prediction Single Stage Misalignment State Minimal Cost