Papers Vocal Bursts Intensity Prediction
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Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices
We introduce a HD DCC-HEAVY class of hierarchical-type factor models for high-dimensional covariance matrices, employing the realized measures built from higher-frequency data. The modelling approach features straightfor…
Vocal Bursts Intensity PredictionAn Object SLAM Framework for Association, Mapping, and High-Level Tasks
Object SLAM is considered increasingly significant for robot high-level perception and decision-making. Existing studies fall short in terms of data association, object representation, and semantic mapping and frequently…
Decision MakingObjectObject SLAMVocal Bursts Intensity PredictionScaling Laws of Dynamic High-Capacity Ride-Sharing
Dynamic ride-sharing services, including ride-pooling offered by ride-hailing platforms and demand-responsive buses, have become an essential part of urban mobility systems. These services cater to personalized and on-de…
Vocal Bursts Intensity PredictionBand-Pass Filtering with High-Dimensional Time Series
The paper deals with the construction of a synthetic indicator of economic growth, obtained by projecting a quarterly measure of aggregate economic activity, namely gross domestic product (GDP), into the space spanned by…
Time SeriesVocal Bursts Intensity PredictionText-guided High-definition Consistency Texture Model
With the advent of depth-to-image diffusion models, text-guided generation, editing, and transfer of realistic textures are no longer difficult. However, due to the limitations of pre-trained diffusion models, they can o…
modelparameter-efficient fine-tuningtext-guided-generationVocal Bursts Intensity PredictionHumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the gap to production-level quality, we intro…
Motion SynthesisNovel View SynthesisVocal Bursts Intensity PredictionCosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators
We present CosmoPower-JAX, a JAX-based implementation of the CosmoPower framework, which accelerates cosmological inference by building neural emulators of cosmological power spectra. We show how, using the automatic dif…
Bayesian InferenceComputational Efficiencyparameter estimationVocal Bursts Intensity PredictionCUTS+: High-dimensional Causal Discovery from Irregular Time-series
Causal discovery in time-series is a fundamental problem in the machine learning community, enabling causal reasoning and decision-making in complex scenarios. Recently, researchers successfully discover causality by com…
Causal DiscoveryDecision MakingGraph Neural NetworkIrregular Time Series+2Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
High-dimensional linear regression under heavy-tailed noise or outlier corruption is challenging, both computationally and statistically. Convex approaches have been proven statistically optimal but suffer from high comp…
regressionVocal Bursts Intensity PredictionHoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning
As IoT devices are becoming widely deployed, there exist many threats to IoT-based systems due to their inherent vulnerabilities. One effective approach to improving IoT security is to deploy IoT honeypot systems, which …
reinforcement-learningVocal Bursts Intensity PredictionFooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes
Due to the rising threat of deepfakes to security and privacy, it is most important to develop robust and reliable detectors. In this paper, we examine the need for high-quality samples in the training datasets of such d…
DeepFake DetectionFace SwappingVocal Bursts Intensity PredictionCopula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling
We address an important yet challenging problem - modeling high-dimensional dependencies across multivariates such as financial indicators in heterogeneous markets. In reality, a market couples and influences others over…
Time SeriesVocal Bursts Intensity PredictionHigh-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction
We study the problem of overcoming exponential sample complexity in differential entropy estimation under Gaussian convolutions. Specifically, we consider the estimation of the differential entropy $h(X+Z)$ via $n$ indep…
Dimensionality ReductionVocal Bursts Intensity PredictionHiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
To fully leverage the advantages of large-scale pre-trained language models (PLMs) on downstream tasks, it has become a ubiquitous adaptation paradigm to fine-tune the entire parameters of PLMs. However, this paradigm po…
parameter-efficient fine-tuningVocal Bursts Intensity PredictionHow to Leverage High Altitude Platforms in Green Computing?
Terrestrial data centers suffer from a growing carbon footprint that could contribute with $14\%$ to global CO2 emissions by 2040. High Altitude Platform (HAP) is a promising airborne technology that can unleash the comp…
ManagementVocal Bursts Intensity PredictionMIReAD: Simple Method for Learning High-quality Representations from Scientific Documents
Learning semantically meaningful representations from scientific documents can facilitate academic literature search and improve performance of recommendation systems. Pre-trained language models have been shown to learn…
ArticlesRecommendation SystemsRepresentation LearningRetrieval+1HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction
Entity relation extraction consists of two sub-tasks: entity recognition and relation extraction. Existing methods either tackle these two tasks separately or unify them with word-by-word interactions. In this paper, we …
Graph Neural NetworkRelationRelation ExtractionVocal Bursts Intensity PredictionSynthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
MRI and PET are crucial diagnostic tools for brain diseases, as they provide complementary information on brain structure and function. However, PET scanning is costly and involves radioactive exposure, resulting in a la…
DiagnosticVocal Bursts Intensity PredictionOn High-dimensional and Low-rank Tensor Bandits
Most existing studies on linear bandits focus on the one-dimensional characterization of the overall system. While being representative, this formulation may fail to model applications with high-dimensional but favorable…
Recommendation SystemsVocal Bursts Intensity PredictionHigh-Level Context Representation for Emotion Recognition in Images
Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them to emotions. Of these cues, situational …
Emotion RecognitionVocal Bursts Intensity Prediction