b'Yuyi Wang'

research

∙ 08/17/2023

Lifted Algorithms for Symmetric Weighted First-Order Model Sampling

Weighted model counting (WMC) is the task of computing the weighted sum ...

0 Yuanhong Wang, et al. ∙

research

∙ 03/13/2023

AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation

The study of ancient writings has great value for archaeology and philol...

0 Hongxiang Huang, et al. ∙

research

∙ 02/09/2023

On Discovering Interesting Combinatorial Integer Sequences

We study the problem of generating interesting integer sequences with a ...

0 Martin Svatos, et al. ∙

research

∙ 02/06/2023

On Exact Sampling in the Two-Variable Fragment of First-Order Logic

In this paper, we study the sampling problem for first-order logic propo...

0 Yuanhong Wang, et al. ∙

research

∙ 10/28/2022

Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm

Many important tasks such as forensic signature verification, calligraph...

0 Zhounan Chen, et al. ∙

research

∙ 10/21/2022

Efficient Submodular Optimization under Noise: Local Search is Robust

The problem of monotone submodular maximization has been studied extensi...

0 Lingxiao Huang, et al. ∙

research

∙ 05/31/2022

Continuous Temporal Graph Networks for Event-Based Graph Data

There has been an increasing interest in modeling continuous-time dynami...

0 Jin Guo, et al. ∙

research

∙ 03/07/2022

Online Matching with Convex Delay Costs

We investigate the problem of Min-cost Perfect Matching with Delays (MPM...

0 Xingwu Liu, et al. ∙

research

∙ 09/14/2021

Online k-Way Matching with Delays and the H-Metric

In this paper, we study k-Way Min-cost Perfect Matching with Delays - th...

0 Darya Melnyk, et al. ∙

research

∙ 10/11/2020

Controllable Multi-Character Psychology-Oriented Story Generation

Story generation, which aims to generate a long and coherent story autom...

1 Feifei Xu, et al. ∙

research

∙ 08/25/2020

Privacy-Preserving Data Publishing via Mutual Cover

We study anonymization techniques for preserving privacy in the publicat...

0 Boyu Li, et al. ∙

research

∙ 05/22/2020

Target Location Problem for Multi-commodity Flow

Motivated by scheduling in Geo-distributed data analysis, we propose a t...

0 Xingwu Liu, et al. ∙

research

∙ 03/30/2020

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

The Hawkes process has become a standard method for modeling self-exciti...

0 Zhen Han, et al. ∙

research

∙ 03/30/2020

The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

The Hawkes process has become a standard method for modeling self-exciti...

0 Zhen Han, et al. ∙

research

∙ 02/20/2020

Causal Inference under Networked Interference

Estimating individual treatment effects from data of randomized experime...

0 Yunpu Ma, et al. ∙

research

∙ 01/15/2020

Domain-Liftability of Relational Marginal Polytopes

We study computational aspects of relational marginal polytopes which ar...

0 Ondrej Kuzelka, et al. ∙

research

∙ 01/04/2020

Quantum Machine Learning Algorithm for Knowledge Graphs

Semantic knowledge graphs are large-scale triple-oriented databases for ...

0 Yunpu Ma, et al. ∙

research

∙ 12/10/2019

Ride the Lightning: The Game Theory of Payment Channels

Payment channels were introduced to solve various eminent cryptocurrency...

0 Zeta Avarikioti, et al. ∙

research

∙ 11/28/2019

Improving Neural Relation Extraction with Positive and Unlabeled Learning

We present a novel approach to improve the performance of distant superv...

0 Zhengqiu He, et al. ∙

research

∙ 09/05/2019

McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds

A crucial assumption in most statistical learning theory is that samples...

0 Zhang, et al. ∙

research

∙ 08/01/2019

Online Payment Network Design

Payment channels allow transactions between participants of the blockcha...

0 Georgia Avarikioti, et al. ∙

research

∙ 08/01/2019

Bitcoin Security under Temporary Dishonest Majority

We prove Bitcoin is secure under temporary dishonest majority. We assume...

0 Georgia Avarikioti, et al. ∙

research

∙ 07/17/2019

Almost tight bound on the query complexity of generalized Simon's problem

Simon's problem played an important role in the history of quantum algor...

0 Zekun Ye, et al. ∙

research

∙ 02/19/2019

Variational Quantum Circuit Model for Knowledge Graphs Embedding

In this work, we propose the first quantum Ansätze for the statistical r...

0 Yunpu Ma, et al. ∙

research

∙ 11/30/2018

Towards Secure and Efficient Payment Channels

Micropayment channels are the most prominent solution to the limitation ...

0 Georgia Avarikioti, et al. ∙

research

∙ 11/06/2018

High Dimensional Clustering with r-nets

Clustering, a fundamental task in data science and machine learning, gro...

0 Georgia Avarikioti, et al. ∙

research

∙ 10/17/2018

Algorithmic Blockchain Channel Design

Payment networks, also known as channels, are a most promising solution ...

0 Georgia Avarikioti, et al. ∙

research

∙ 10/17/2018

Payment Network Design with Fees

Payment channels are the most prominent solution to the blockchain scala...

0 Georgia Avarikioti, et al. ∙

research

∙ 09/20/2018

MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer

We introduce MIDI-VAE, a neural network model based on Variational Autoe...

0 Gino Brunner, et al. ∙

research

∙ 09/20/2018

Symbolic Music Genre Transfer with CycleGAN

Deep generative models such as Variational Autoencoders (VAEs) and Gener...

0 Gino Brunner, et al. ∙

research

∙ 04/17/2018

VC-Dimension Based Generalization Bounds for Relational Learning

In many applications of relational learning, the available data can be s...

0 Ondrej Kuzelka, et al. ∙

research

∙ 03/15/2018

PAC-Reasoning in Relational Domains

We consider the problem of predicting plausible missing facts in relatio...

0 Ondrej Kuzelka, et al. ∙

research

∙ 03/07/2018

Byzantine Preferential Voting

In the Byzantine agreement problem, n nodes with possibly different inpu...

0 Darya Melnyk, et al. ∙

research

∙ 01/18/2018

Natural Language Multitasking: Analyzing and Improving Syntactic Saliency of Hidden Representations

We train multi-task autoencoders on linguistic tasks and analyze the lea...

0 Gino Brunner, et al. ∙

research

∙ 11/21/2017

JamBot: Music Theory Aware Chord Based Generation of Polyphonic Music with LSTMs

We propose a novel approach for the generation of polyphonic music based...

0 Gino Brunner, et al. ∙

research

∙ 11/20/2017

Teaching a Machine to Read Maps with Deep Reinforcement Learning

The ability to use a 2D map to navigate a complex 3D environment is quit...

0 Gino Brunner, et al. ∙

research

∙ 11/12/2017

On the ERM Principle with Networked Data

Networked data, in which every training example involves two objects and...

0 Yuanhong Wang, et al. ∙

research

∙ 09/18/2017

Relational Marginal Problems: Theory and Estimation

In the propositional setting, the marginal problem is to find a (maximum...

0 Ondrej Kuzelka, et al. ∙

research

∙ 09/15/2017

Variable Version Lovász Local Lemma: Beyond Shearer's Bound

A tight criterion under which the abstract version Lovász Local Lemma (a...

0 Kun He, et al. ∙

research

∙ 05/11/2014

Learning from networked examples

Many machine learning algorithms are based on the assumption that traini...

0 Yuyi Wang, et al. ∙

research

∙ 06/03/2013

Learning from networked examples in a k-partite graph

Many machine learning algorithms are based on the assumption that traini...

0 Yuyi Wang, et al. ∙

Yuyi Wang

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