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fcq
109 publications
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83 publications
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83 publications
Zihao Wang
75 publications
Danica Kragic
71 publications
Yixuan Li
57 publications
Chi-Keung Tang
54 publications
George Michailidis
47 publications
Simon See
40 publications
Tamim Asfour
33 publications
Mårten Björkman
25 publications

∙ 09/11/2023

Learning Geometric Representations of Objects via Interaction

We address the problem of learning representations from observations of ...

0 Alfredo Reichlin, et al. ∙

∙ 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...

0 Hang Yin, et al. ∙

∙ 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...

0 Zihao Wang, et al. ∙

∙ 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 ...

0 Hang Yin, et al. ∙

∙ 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...

0 Yansong Lv, et al. ∙

∙ 10/13/2022

Behavioral graph fraud detection in E-commerce

In e-commerce industry, graph neural network methods are the new trends ...

0 Hang Yin, et al. ∙

∙ 08/19/2022

Dance Style Transfer with Cross-modal Transformer

We present CycleDance, a dance style transfer system to transform an exi...

0 Wenjie Yin, et al. ∙

∙ 07/18/2022

Back to the Manifold: Recovering from Out-of-Distribution States

Learning from previously collected datasets of expert data offers the pr...

27 Alfredo Reichlin, et al. ∙

∙ 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...

0 Gustaf Tegnér, et al. ∙

∙ 02/07/2022

GMC – Geometric Multimodal Contrastive Representation Learning

Learning representations of multimodal data that are both informative an...

0 Petra Poklukar, et al. ∙

∙ 12/09/2021

Adaptive List Decoder with Flip Operations for Polar Codes

Successive cancellation list decoders with flip operations (SCL-Flip) ca...

0 Yansong Lv, et al. ∙

∙ 10/18/2021

A General Modeling Framework for Network Autoregressive Processes

The paper develops a general flexible framework for Network Autoregressi...

0 Hang Yin, et al. ∙

∙ 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...

13 Miguel Vasco, et al. ∙

∙ 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...

0 Zihao Wang, et al. ∙

∙ 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...

0 Yifei Ming, et al. ∙

∙ 04/07/2021

Graph-based Normalizing Flow for Human Motion Generation and Reconstruction

Data-driven approaches for modeling human skeletal motion have found var...

0 Wenjie Yin, et al. ∙

∙ 03/30/2021

Learning Deep Neural Policies with Stability Guarantees

Reinforcement learning (RL) has been successfully used to solve various ...

0 Shahbaz Abdul Khader, et al. ∙

∙ 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...

0 Zehang Weng, et al. ∙

∙ 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...

0 Martina Lippi, et al. ∙

∙ 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...

0 Hang Yin, et al. ∙

∙ 01/12/2021

Explainable Deep Behavioral Sequence Clustering for Transaction Fraud Detection

In e-commerce industry, user behavior sequence data has been widely used...

0 Wei Min, et al. ∙

∙ 10/30/2020

Learning Stable Normalizing-Flow Control for Robotic Manipulation

Reinforcement Learning (RL) of robotic manipulation skills, despite its ...

0 Shahbaz Abdul Khader, et al. ∙

∙ 04/22/2020

Stability-Guaranteed Reinforcement Learning for Contact-rich Manipulation

Reinforcement learning (RL) has had its fair share of success in contact...

0 Shahbaz A. Khader, et al. ∙

∙ 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...

0 Martina Lippi, et al. ∙

∙ 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...

0 Shahbaz Abdul Khader, et al. ∙

∙ 07/24/2019

StableNet: Semi-Online, Multi-Scale Deep Video Stabilization

Video stabilization algorithms are of greater importance nowadays with t...

4 Chia-Hung Huang, et al. ∙

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