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09/05/2023
DAMM: Directionality-Aware Mixture Model Parallel Sampling for Efficient Dynamical System Learning
The Linear Parameter Varying Dynamical System (LPV-DS) is a promising fr...
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09/05/2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
Dynamical System (DS) based Learning from Demonstration (LfD) allows lea...
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07/31/2023
Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations
A learning-based modular motion planning pipeline is presented that is c...
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07/19/2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
When doing private domain marketing with cloud services, the merchants u...
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06/15/2023
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation
To overcome the domain gap between synthetic and real-world datasets, un...
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05/24/2023
Differentially-Private Decision Trees with Probabilistic Robustness to Data Poisoning
Decision trees are interpretable models that are well-suited to non-line...
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05/24/2023
ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters
Motion retargeting is a promising approach for generating natural and co...
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03/28/2023
ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments
Generating natural and physically feasible motions for legged robots has...
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03/18/2023
3D Data Augmentation for Driving Scenes on Camera
Driving scenes are extremely diverse and complicated that it is impossib...
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03/18/2023
A VMS-FEM for the stress-history-dependent materials (fluid or solid) interacting with the rigid body structure: formulation, numerical verification and application in the pipe
The problem of multiphase materials (fluid or solid) interacting with th...
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06/08/2022
Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata
Weighted finite automata (WFAs) have been widely applied in many fields....
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03/06/2022
foREST: A Tree-based Approach for Fuzzing RESTful APIs
Representational state transfer (REST) is a widely employed architecture...
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02/14/2022
UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision
E-commerce platforms generate vast amounts of customer behavior data, su...
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09/27/2021
Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion
Robots operating in human environments need a variety of skills, like sl...
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11/24/2020
Learning Navigation Skills for Legged Robots with Learned Robot Embeddings
Navigation policies are commonly learned on idealized cylinder agents in...
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10/19/2020
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
In this paper, we present connections between three models used in diffe...
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10/12/2020
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
Autoencoder-based hybrid recommender systems have become popular recentl...
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08/27/2020
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
Hierarchical learning has been successful at learning generalizable loco...
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04/29/2020
Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats
The proliferation of modern data processing tools has given rise to open...
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02/07/2020
Provably efficient reconstruction of policy networks
Recent research has shown that learning poli-cies parametrized by large ...
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11/12/2019
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Learning and planning in partially-observable domains is one of the most...
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10/15/2019
Learning Classifiers on Positive and Unlabeled Data with Policy Gradient
Existing algorithms aiming to learn a binary classifier from positive (P...
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09/26/2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning
Learning to locomote to arbitrary goals on hardware remains a challengin...
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07/10/2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
Data-efficiency is crucial for autonomous robots to adapt to new tasks a...
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03/01/2019
GRP Model for Sensorimotor Learning
Learning from complex demonstrations is challenging, especially when the...
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12/17/2018
Deep Heterogeneous Autoencoders for Collaborative Filtering
This paper leverages heterogeneous auxiliary information to address the ...
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09/28/2018
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped
Learning controllers for bipedal robots is a challenging problem, often ...
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07/04/2018
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
In this paper, we unravel a fundamental connection between weighted fini...
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09/13/2017