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07/27/2023
Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields
With the popularity of implicit neural representations, or neural radian...
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06/29/2023
From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data
Large Language Models (LLMs) exhibit exceptional abilities for causal an...
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06/12/2023
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge
Causal structure learning, a prominent technique for encoding cause and ...
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05/27/2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Graph contrastive learning (GCL) shows great potential in unsupervised g...
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01/26/2023
A Graph Neural Network with Negative Message Passing for Graph Coloring
Graph neural networks have received increased attention over the past ye...
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10/04/2022
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions
3D human reconstruction from RGB images achieves decent results in good ...
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09/12/2022
mmBody Benchmark: 3D Body Reconstruction Dataset and Analysis for Millimeter Wave Radar
Millimeter Wave (mmWave) Radar is gaining popularity as it can work in a...
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05/02/2021
SE-Harris and eSUSAN: Asynchronous Event-Based Corner Detection Using Megapixel Resolution CeleX-V Camera
Event cameras are novel neuromorphic vision sensors with ultrahigh tempo...
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10/30/2020
State sharding model on the blockchain
Blockchain is an incrementally updated ledger maintained by distributed ...
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09/08/2020
Unsupervised Change Detection in Satellite Images with Generative Adversarial Network
Detecting changed regions in paired satellite images plays a key role in...
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06/30/2020
Multi-Axis Support-Free Printing of Freeform Parts with Lattice Infill Structures
In additive manufacturing, infill structures are commonly used to reduce...
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03/12/2020
Geodesic Distance Field-based Curved Layer Volume Decomposition for Multi-Axis Support-free Printing
This paper presents a new curved layer volume decomposition method for m...
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11/21/2017
Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework
Deep learning models have gained great success in many real-world applic...
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11/17/2016
Boosting Variational Inference
Variational inference (VI) provides fast approximations of a Bayesian po...
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03/18/2016
Unsupervised Cross-Media Hashing with Structure Preservation
Recent years have seen the exponential growth of heterogeneous multimedi...
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02/25/2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
We unify slice sampling and Hamiltonian Monte Carlo (HMC) sampling, demo...
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02/08/2016
DECOrrelated feature space partitioning for distributed sparse regression
Fitting statistical models is computationally challenging when the sampl...
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10/01/2015
QUDA: A Direct Approach for Sparse Quadratic Discriminant Analysis
Quadratic discriminant analysis (QDA) is a standard tool for classificat...
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06/10/2015
Parallelizing MCMC with Random Partition Trees
The modern scale of data has brought new challenges to Bayesian inferenc...
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06/07/2015
No penalty no tears: Least squares in high-dimensional linear models
Ordinary least squares (OLS) is the default method for fitting linear mo...
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06/05/2015
High-dimensional Ordinary Least-squares Projection for Screening Variables
Variable selection is a challenging issue in statistical applications wh...
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02/24/2015
On the consistency theory of high dimensional variable screening
Variable screening is a fast dimension reduction technique for assisting...
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10/24/2014
Median Selection Subset Aggregation for Parallel Inference
For massive data sets, efficient computation commonly relies on distribu...
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12/17/2013