Ying Nian Wu

papers

1,179

total citations

papers (24)

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

CVPR 2021arXiv

citations

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

CVPR 2020arXiv

citations

Visual Agents as Fast and Slow Thinkers

ICLR 2025arXiv

citations

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

ECCV 2022arXiv

citations

Unsupervised Foreground Extraction via Deep Region Competition

NEURIPS 2021arXiv

citations

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling

NEURIPS 2021arXiv

citations

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

NEURIPS 2023arXiv

citations

Latent Thought Models with Variational Bayes Inference-Time Computation

ICML 2025arXiv

citations

Iterative Teacher-Aware Learning

NEURIPS 2021arXiv

citations

Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator

CVPR 2023arXiv

citations

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

CVPR 2021arXiv

citations

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior

ICCV 2023arXiv

citations

No Head Left Behind – Multi-Head Alignment Distillation for Transformers

AAAI 2024

citations

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

ECCV 2020arXiv

citations

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering

CVPR 2022

citations

Monitoring Primitive Interactions During the Training of DNNs

AAAI 2025

citations

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

CVPR 2020arXiv

citations

Learning for Transductive Threshold Calibration in Open-World Recognition

CVPR 2024arXiv

citations

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

NEURIPS 2023

citations

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors

NEURIPS 2022

citations

Ying Nian Wu

papers (24)

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Learning Latent Space Energy-Based Prior Model

Flow Contrastive Estimation of Energy-Based Models

Trajectory Prediction With Latent Belief Energy-Based Model

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

Visual Agents as Fast and Slow Thinkers

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

Unsupervised Foreground Extraction via Deep Region Competition

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

Latent Thought Models with Variational Bayes Inference-Time Computation

Iterative Teacher-Aware Learning

Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior

No Head Left Behind – Multi-Head Alignment Distillation for Transformers

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering

Monitoring Primitive Interactions During the Training of DNNs

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

Learning for Transductive Threshold Calibration in Open-World Recognition

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors

papers (24)

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Learning Latent Space Energy-Based Prior Model

Flow Contrastive Estimation of Energy-Based Models

Trajectory Prediction With Latent Belief Energy-Based Model

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

Visual Agents as Fast and Slow Thinkers

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

Unsupervised Foreground Extraction via Deep Region Competition

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

Latent Thought Models with Variational Bayes Inference-Time Computation

Iterative Teacher-Aware Learning

Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior

No Head Left Behind – Multi-Head Alignment Distillation for Transformers

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering

Monitoring Primitive Interactions During the Training of DNNs

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

Learning for Transductive Threshold Calibration in Open-World Recognition

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors