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09/11/2023
Learning Geometric Representations of Objects via Interaction
We address the problem of learning representations from observations of ...
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07/15/2023
EFO_k-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation
To answer complex queries on knowledge graphs, logical reasoning over in...
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05/06/2023
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
Answering complex queries on knowledge graphs is important but particula...
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04/14/2023
Rethinking Existential First Order Queries and their Inference on Knowledge Graphs
Reasoning on knowledge graphs is a challenging task because it utilizes ...
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03/22/2023
Parity-check-aided Dynamic SCL-Flip Decoder with A Simplified Flip Metric for Polar Codes
Since polar codes were proposed, improving the performance of polar code...
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10/13/2022
Behavioral graph fraud detection in E-commerce
In e-commerce industry, graph neural network methods are the new trends ...
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08/19/2022
Dance Style Transfer with Cross-modal Transformer
We present CycleDance, a dance style transfer system to transform an exi...
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07/18/2022
Back to the Manifold: Recovering from Out-of-Distribution States
Learning from previously collected datasets of expert data offers the pr...
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07/08/2022
On the Subspace Structure of Gradient-Based Meta-Learning
In this work we provide an analysis of the distribution of the post-adap...
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02/07/2022
GMC – Geometric Multimodal Contrastive Representation Learning
Learning representations of multimodal data that are both informative an...
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12/09/2021
Adaptive List Decoder with Flip Operations for Polar Codes
Successive cancellation list decoders with flip operations (SCL-Flip) ca...
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10/18/2021
A General Modeling Framework for Network Autoregressive Processes
The paper develops a general flexible framework for Network Autoregressi...
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10/07/2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
This work addresses the problem of sensing the world: how to learn a mul...
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09/18/2021
Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
Complex Query Answering (CQA) is an important reasoning task on knowledg...
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09/12/2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
Modern neural networks can assign high confidence to inputs drawn from o...
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04/07/2021
Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
Data-driven approaches for modeling human skeletal motion have found var...
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03/30/2021
Learning Deep Neural Policies with Stability Guarantees
Reinforcement learning (RL) has been successfully used to solve various ...
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03/04/2021
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects
Capturing scene dynamics and predicting the future scene state is challe...
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03/03/2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
We present a framework for visual action planning of complex manipulatio...
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01/13/2021
Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks
Sparse inverse covariance estimation (i.e., edge de-tection) is an impor...
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01/12/2021
Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection
In e-commerce industry, user behavior sequence data has been widely used...
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10/30/2020
Learning Stable Normalizing-Flow Control for Robotic Manipulation
Reinforcement Learning (RL) of robotic manipulation skills, despite its ...
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04/22/2020
Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation
Reinforcement learning (RL) has had its fair share of success in contact...
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03/19/2020
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
We present a framework for visual action planning of complex manipulatio...
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09/11/2019
Probabilistic Model Learning and Long-term Prediction for Contact-rich Manipulation Tasks
Learning dynamics models is an essential component of model-based reinfo...
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07/24/2019