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09/17/2023
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
Trajectory generation and trajectory prediction are two critical tasks f...
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07/21/2023
Safety-Assured Speculative Planning with Adaptive Prediction
Recently significant progress has been made in vehicle prediction and pl...
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05/09/2023
CSED: A Chinese Semantic Error Diagnosis Corpus
Recently, much Chinese text error correction work has focused on Chinese...
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03/31/2023
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems
Neural networks (NNs) playing the role of controllers have demonstrated ...
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03/29/2023
Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network
It is a challenging problem to predict trends of futures prices with tra...
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11/29/2022
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators
The physics-informed neural operator (PINO) is a machine learning archit...
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11/28/2022
CLIP2GAN: Towards Bridging Text with the Latent Space of GANs
In this work, we are dedicated to text-guided image generation and propo...
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09/29/2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
It is quite challenging to ensure the safety of reinforcement learning (...
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08/15/2022
A Tool for Neural Network Global Robustness Certification and Training
With the increment of interest in leveraging machine learning technology...
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08/09/2022
Second Order Ensemble Langevin Method for Sampling and Inverse Problems
We propose a sampling method based on an ensemble approximation of secon...
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07/04/2022
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction
RNA structure determination and prediction can promote RNA-targeted drug...
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01/28/2022
Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications
With the global Internet of Things IoT market size predicted to grow to ...
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01/28/2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning
In model-based reinforcement learning for safety-critical control system...
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01/22/2022
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner
Neural networks have shown great promises in planning, control, and gene...
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11/18/2021
CLMB: deep contrastive learning for robust metagenomic binning
The reconstruction of microbial genomes from large metagenomic datasets ...
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06/27/2021
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
As people spend up to 87 Ventilation, and Air Conditioning (HVAC) system...
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06/18/2021
Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection
The utilization of computer technology to solve problems in medical scen...
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02/15/2021
Weak Adaptation Learning – Addressing Cross-domain Data Insufficiency with Weak Annotator
Data quantity and quality are crucial factors for data-driven learning m...
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12/10/2020
Preference-Based Privacy Trading
The question we raise through this paper is: Is it economically feasible...
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11/01/2020
Tracking Partially-Occluded Deformable Objects while Enforcing Geometric Constraints
In order to manipulate a deformable object, such as rope or cloth, in un...
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08/09/2020
One for Many: Transfer Learning for Building HVAC Control
The design of building heating, ventilation, and air conditioning (HVAC)...
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06/08/2020
Schrödinger PCA: You Only Need Variances for Eigenmodes
Principal component analysis (PCA) has achieved great success in unsuper...
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12/18/2019
Preventing Information Leakage with Neural Architecture Search
Powered by machine learning services in the cloud, numerous learning-dri...
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12/06/2019
Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution
In this article, we focus on the analysis of the potential factors drivi...
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05/15/2017