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 ...
share
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...
research
∙
02/09/2023
On Discovering Interesting Combinatorial Integer Sequences
We study the problem of generating interesting integer sequences with a ...
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...
research
∙
10/28/2022
Complex Handwriting Trajectory Recovery: Evaluation Metrics and Algorithm
Many important tasks such as forensic signature verification, calligraph...
research
∙
10/21/2022
Efficient Submodular Optimization under Noise: Local Search is Robust
The problem of monotone submodular maximization has been studied extensi...
research
∙
05/31/2022
Continuous Temporal Graph Networks for Event-Based Graph Data
There has been an increasing interest in modeling continuous-time dynami...
research
∙
03/07/2022
Online Matching with Convex Delay Costs
We investigate the problem of Min-cost Perfect Matching with Delays (MPM...
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...
research
∙
10/11/2020
Controllable Multi-Character Psychology-Oriented Story Generation
Story generation, which aims to generate a long and coherent story autom...
research
∙
08/25/2020
Privacy-Preserving Data Publishing via Mutual Cover
We study anonymization techniques for preserving privacy in the publicat...
research
∙
05/22/2020
Target Location Problem for Multi-commodity Flow
Motivated by scheduling in Geo-distributed data analysis, we propose a t...
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...
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...
research
∙
02/20/2020
Causal Inference under Networked Interference
Estimating individual treatment effects from data of randomized experime...
research
∙
01/15/2020
Domain-Liftability of Relational Marginal Polytopes
We study computational aspects of relational marginal polytopes which ar...
research
∙
01/04/2020
Quantum Machine Learning Algorithm for Knowledge Graphs
Semantic knowledge graphs are large-scale triple-oriented databases for ...
research
∙
12/10/2019
Ride the Lightning: The Game Theory of Payment Channels
Payment channels were introduced to solve various eminent cryptocurrency...
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...
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...
research
∙
08/01/2019
Online Payment Network Design
Payment channels allow transactions between participants of the blockcha...
research
∙
08/01/2019
Bitcoin Security under Temporary Dishonest Majority
We prove Bitcoin is secure under temporary dishonest majority. We assume...
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...
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...
research
∙
11/30/2018
Towards Secure and Efficient Payment Channels
Micropayment channels are the most prominent solution to the limitation ...
research
∙
11/06/2018
High Dimensional Clustering with r-nets
Clustering, a fundamental task in data science and machine learning, gro...
research
∙
10/17/2018
Algorithmic Blockchain Channel Design
Payment networks, also known as channels, are a most promising solution ...
research
∙
10/17/2018
Payment Network Design with Fees
Payment channels are the most prominent solution to the blockchain scala...
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...
research
∙
09/20/2018
Symbolic Music Genre Transfer with CycleGAN
Deep generative models such as Variational Autoencoders (VAEs) and Gener...
research
∙
04/17/2018
VC-Dimension Based Generalization Bounds for Relational Learning
In many applications of relational learning, the available data can be s...
research
∙
03/15/2018
PAC-Reasoning in Relational Domains
We consider the problem of predicting plausible missing facts in relatio...
research
∙
03/07/2018
Byzantine Preferential Voting
In the Byzantine agreement problem, n nodes with possibly different inpu...
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...
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...
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...
research
∙
11/12/2017
On the ERM Principle with Networked Data
Networked data, in which every training example involves two objects and...
research
∙
09/18/2017
Relational Marginal Problems: Theory and Estimation
In the propositional setting, the marginal problem is to find a (maximum...
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...
research
∙
05/11/2014
Learning from networked examples
Many machine learning algorithms are based on the assumption that traini...
research
∙
06/03/2013