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Found 33 papers, 14 papers with code
Efficient functional ANOVA through wavelet-domain Markov groves
We introduce a wavelet-domain functional analysis of variance (fANOVA) method based on a Bayesian hierarchical model.
Recursive partitioning and multi-scale modeling on conditional densities
We introduce a nonparametric prior on the conditional distribution of a (univariate or multivariate) response given a set of predictors.
Methodology Statistics Theory Computation Statistics Theory
Mixture modeling on related samples by $ψ$-stick breaking and kernel perturbation
We introduce two techniques for incorporating these features in modeling related data samples using kernel mixtures.
Learning Asymmetric and Local Features in Multi-Dimensional Data through Wavelets with Recursive Partitioning
Effective learning of asymmetric and local features in images and other data observed on multi-dimensional grids is a challenging objective critical for a wide range of image processing applications involving biomedical and natural images.
Bayesian graphical compositional regression for microbiome data
An important task in microbiome studies is to test the existence of and give characterization to differences in the microbiome composition across groups of samples.
Methodology Applications Computation
Multiscale Fisher's Independence Test for Multivariate Dependence
Identifying dependency in multivariate data is a common inference task that arises in numerous applications.
POI Semantic Model with a Deep Convolutional Structure
An accurate similarity calculation is challenging since the mismatch between a query and a retrieval text may exist in the case of a mistyped query or an alias inquiry.
Kingsoft's Neural Machine Translation System for WMT19
This paper describes the Kingsoft AI Lab{'}s submission to the WMT2019 news translation shared task.
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images
An extreme learning machine (ELM)-based heterogeneous domain adaptation (HDA) algorithm is proposed for the classification of remote sensing images.
CARP: Compression through Adaptive Recursive Partitioning for Multi-dimensional Images
Fast and effective image compression for multi-dimensional images has become increasingly important for efficient storage and transfer of massive amounts of high-resolution images and videos.
Privacy-preserving collaborative machine learning on genomic data using TensorFlow
Machine learning (ML) methods have been widely used in genomic studies.
Cryptography and Security
Dirichlet-tree multinomial mixtures for clustering microbiome compositions
A common routine in microbiome research is to identify reproducible patterns in the population through unsupervised clustering of samples.
Methodology Applications
Two solutions to Kazdan-Warner's problem on surfaces
In this paper, we study the sign-changing Kazdan-Warner's problem on two dimensional closed Riemannian manifold with negative Euler number $\chi(M)<0$.
Differential Geometry Analysis of PDEs 53C20, 35J60, 58G99
Yamabe metrics, Fine solutions to the Yamabe flow, and local L1-stability
In this paper, we study the existence of complete Yamabe metric with zero scalar curvature on an n-dimensional complete Riemannian manifold $(M, g_0)$, $n\geq 3$.
Differential Geometry Analysis of PDEs 53C44, 53C20, 35Jxx, 35K50, 58J20
Stability property and Dirichlet problem for translating solitons
In this paper, we prove that the infimum of the mean curvature is zero for a translating solitons of hypersurface in $\re^{n+k}$.
Differential Geometry Analysis of PDEs translating solitons, stability, non-splitting, Dirichlet problem
Unsupervised tree boosting for learning probability distributions
We propose an unsupervised tree boosting algorithm for inferring the underlying sampling distribution of an i. i. d.
Distillation based Multi-task Learning: A Candidate Generation Model for Improving Reading Duration
One solution to this problem is to model the click and the reading duration simultaneously under the multi-task learning (MTL) framework.
SciConceptMiner: A system for large-scale scientific concept discovery
In this paper, we introduce a self-supervised end-to-end system, SciConceptMiner, for the automatic capture of emerging scientific concepts from both independent knowledge sources (semi-structured data) and academic publications (unstructured documents).
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
This observation leads to more explanations of the CNN's generalization behaviors in both robustness to common perturbations and out-of-distribution detection, and motivates a new perspective on data augmentation designed by re-combing the phase spectrum of the current image and the amplitude spectrum of the distracter image.
Ranked #7 on
Out-of-Distribution Detection
on CIFAR-10
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
In the real-world clinical setting, OpenClinicalAI significantly outperforms the state-of-the-art AI system.
Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation
As a result, LDA can produce inference which is highly sensitive to the specification of the number of subcommunities and often divides a single subcommunity into multiple artificial ones.
Deblur-NeRF: Neural Radiance Fields from Blurry Images
We demonstrate that our method can be used on both camera motion blur and defocus blur: the two most common types of blur in real scenes.
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
Extensive experiments on face recognition show that TVConv reduces the computational cost by up to 3. 1x and improves the corresponding throughput by 2. 3x while maintaining a high accuracy compared to the depthwise convolution.
Neural Parameterization for Dynamic Human Head Editing
Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene.
3D Video Loops from Asynchronous Input
Looping videos are short video clips that can be looped endlessly without visible seams or artifacts.
Picking Up Quantization Steps for Compressed Image Classification
The sensitivity of deep neural networks to compressed images hinders their usage in many real applications, which means classification networks may fail just after taking a screenshot and saving it as a compressed file.
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will significantly benefit patients' medical treatment and care.
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
Thus, the AD diagnosis task is tangled and coupled with the diagnosis strategy formulation.
Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm
Tensor-valued data arise frequently from a wide variety of scientific applications, and many among them can be translated into an alteration detection problem of tensor dependence structures.
SpecNeRF: Gaussian Directional Encoding for Specular Reflections
We show that our Gaussian directional encoding and geometry prior significantly improve the modeling of challenging specular reflections in neural radiance fields, which helps decompose appearance into more physically meaningful components.
Mixture of Link Predictors
Link prediction, which aims to forecast unseen connections in graphs, is a fundamental task in graph machine learning.
UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling
Therefore, we propose UV Gaussians, which models the 3D human body by jointly learning mesh deformations and 2D UV-space Gaussian textures.
InternLM2 Technical Report
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI).
Ranked #5 on
Long-Context Understanding
on Ada-LEval (BestAnswer)
