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07/12/2023
Air Bumper: A Collision Detection and Reaction Framework for Autonomous MAV Navigation
Autonomous navigation in unknown environments with obstacles remains cha...
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06/15/2023
Position-Based Nonlinear Gauss-Seidel for Quasistatic Hyperelasticity
Position based dynamics is a powerful technique for simulating a variety...
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02/22/2023
Sampling-based path planning under temporal logic constraints with real-time adaptation
Replanning in temporal logic tasks is extremely difficult during the onl...
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02/03/2023
Clustered Embedding Learning for Recommender Systems
In recent years, recommender systems have advanced rapidly, where embedd...
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10/17/2022
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle
In recent years, the rapid development of deep learning has brought grea...
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10/07/2022
Iterative Methods at Lower Precision
Since numbers in the computer are represented with a fixed number of bit...
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09/30/2022
Visuo-Tactile Transformers for Manipulation
Learning representations in the joint domain of vision and touch can imp...
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06/14/2022
On Provably Robust Meta-Bayesian Optimization
Bayesian optimization (BO) has become popular for sequential optimizatio...
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03/05/2022
Cosine Model Watermarking Against Ensemble Distillation
Many model watermarking methods have been developed to prevent valuable ...
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01/17/2022
A Robust Grid-Based Meshing Algorithm for Embedding Self-Intersecting Surfaces
The creation of a volumetric mesh representing the interior of an input ...
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12/14/2021
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation
This work proposes the M3E2, a multi-task learning neural network model ...
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09/20/2021
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
High-quality training data play a key role in image segmentation tasks. ...
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09/06/2021
Going Beyond Neural Architecture Search with Sampling-based Neural Ensemble Search
Recently, Neural Architecture Search (NAS) has been widely applied to au...
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03/26/2021
Gated Transformer Networks for Multivariate Time Series Classification
Deep learning model (primarily convolutional networks and LSTM) for time...
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06/30/2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
This paper presents a recursive reasoning formalism of Bayesian optimiza...
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10/26/2019
