b'Ilya Safro'

research

∙ 07/14/2023

Decomposition Based Refinement for the Network Interdiction Problem

The shortest path network interdiction (SPNI) problem poses significant ...

0 Krish Matta, et al. ∙

research

∙ 06/05/2023

Literature-based Discovery for Landscape Planning

This project demonstrates how medical corpus hypothesis generation, a kn...

0 David Marasco, et al. ∙

research

∙ 04/15/2023

Learning To Optimize Quantum Neural Network Without Gradients

Quantum Machine Learning is an emerging sub-field in machine learning wh...

0 Ankit Kulshrestha, et al. ∙

research

∙ 10/18/2022

Towards Practical Explainability with Cluster Descriptors

With the rapid development of machine learning, improving its explainabi...

0 Xiaoyuan Liu, et al. ∙

research

∙ 09/07/2022

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation

One of the key problems in tensor network based quantum circuit simulati...

0 Cameron Ibrahim, et al. ∙

research

∙ 04/30/2022

Quantum Approximate Optimization Algorithm with Sparsified Phase Operator

The Quantum Approximate Optimization Algorithm (QAOA) is a promising can...

0 Xiaoyuan Liu, et al. ∙

research

∙ 04/28/2022

BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms

Barren plateaus are a notorious problem in the optimization of variation...

0 Ankit Kulshrestha, et al. ∙

research

∙ 01/17/2022

Proactive Query Expansion for Streaming Data Using External Source

Query expansion is the process of reformulating the original query by ad...

0 Farah Alshanik, et al. ∙

research

∙ 11/17/2021

CONFAIR: Configurable and Interpretable Algorithmic Fairness

The rapid growth of data in the recent years has led to the development ...

0 Ankit Kulshrestha, et al. ∙

research

∙ 02/22/2021

Coping with Mistreatment in Fair Algorithms

Machine learning actively impacts our everyday life in almost all endeav...

0 Ankit Kulshrestha, et al. ∙

research

∙ 02/10/2021

Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers

Combinatorial optimization on near-term quantum devices is a promising p...

0 Xiaoyuan Liu, et al. ∙

research

∙ 02/10/2021

Accelerating COVID-19 research with graph mining and transformer-based learning

In 2020, the White House released the, "Call to Action to the Tech Commu...

0 Ilya Tyagin, et al. ∙

research

∙ 12/08/2020

Classical symmetries and QAOA

We study the relationship between the Quantum Approximate Optimization A...

3 Ruslan Shaydulin, et al. ∙

research

∙ 11/18/2020

Accelerating Text Mining Using Domain-Specific Stop Word Lists

Text preprocessing is an essential step in text mining. Removing words t...

0 Farah Alshanik, et al. ∙

research

∙ 11/05/2020

AML-SVM: Adaptive Multilevel Learning with Support Vector Machines

The support vector machines (SVM) is one of the most widely used and pra...

0 Ehsan Sadrfaridpour, et al. ∙

research

∙ 03/18/2020

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization

Graph representation learning based on graph neural networks (GNNs) can ...

11 Fei Ding, et al. ∙

research

∙ 03/02/2020

Recent Advances in Scalable Network Generation

Random graph models are frequently used as a controllable and versatile ...

0 Manuel Penschuck, et al. ∙

research

∙ 02/13/2020

CBAG: Conditional Biomedical Abstract Generation

Biomedical research papers use significantly different language and jarg...

6 Justin Sybrandt, et al. ∙

research

∙ 02/13/2020

AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach

Medical research is risky and expensive. Drug discovery, as an example, ...

9 Justin Sybrandt, et al. ∙

research

∙ 11/22/2019

On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware

Many combinatorial scientific computing problems are NP-hard which in pr...

0 Xiaoyuan Liu, et al. ∙

research

∙ 10/22/2019

Multilevel Combinatorial Optimization Across Quantum Architectures

Emerging quantum processors provide an opportunity to explore new approa...

0 Hayato Ushijima-Mwesigwa, et al. ∙

research

∙ 09/09/2019

Hypergraph Partitioning With Embeddings

The problem of placing circuits on a chip or distributing sparse matrix ...

0 Justin Sybrandt, et al. ∙

research

∙ 09/09/2019

Partition Hypergraphs with Embeddings

The problem of placing circuits on a chip or distributing sparse matrix ...

0 Justin Sybrandt, et al. ∙

research

∙ 05/27/2019

FOBE and HOBE: First- and High-Order Bipartite Embeddings

Typical graph embeddings may not capture type-specific bipartite graph f...

0 Justin Sybrandt, et al. ∙

research

∙ 02/18/2019

Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations

We present a topology-based method for mesh-partitioning in three-dimens...

0 Hayato Ushijima-Mwesigwa, et al. ∙

research

∙ 10/01/2018

Community Detection Across Emerging Quantum Architectures

One of the roadmap plans for quantum computers is an integration within ...

0 Ruslan Shaydulin, et al. ∙

research

∙ 08/19/2018

Spatio-temporal prediction of crimes using network analytic approach

It is quite evident that majority of the population lives in urban area ...

0 Saroj Kumar Dash, et al. ∙

research

∙ 08/19/2018

Spatio-temproal prediction of crimes using network analytic approach

It is quite evident that majority of the population lives in urban area ...

0 Saroj Kumar Dash, et al. ∙

research

∙ 04/13/2018

Are Abstracts Enough for Hypothesis Generation?

The potential for automatic hypothesis generation (HG) systems to improv...

0 Justin Sybrandt, et al. ∙

research

∙ 02/26/2018

Multiscale Planar Graph Generation

The study of network representations of physical, biological, and social...

0 Varsha Chauhan, et al. ∙

research

∙ 02/26/2018

Aggregative Coarsening for Multilevel Hypergraph Partitioning

Algorithms for many hypergraph problems, including partitioning, utilize...

0 Ruslan Shaydulin, et al. ∙

research

∙ 02/11/2018

Validation and Topic-driven Ranking for Biomedical Hypothesis Generation Systems

Literature underpins research, providing the foundation for new ideas. B...

0 Justin Sybrandt, et al. ∙

research

∙ 10/18/2017

Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning

Multilevel partitioning methods that are inspired by principles of multi...

0 Ruslan Shaydulin, et al. ∙

research

∙ 02/20/2017

MOLIERE: Automatic Biomedical Hypothesis Generation System

Hypothesis generation is becoming a crucial time-saving technique which ...

0 Justin Sybrandt, et al. ∙

research

∙ 11/16/2016

Algebraic multigrid support vector machines

The support vector machine is a flexible optimization-based technique wi...

0 Ehsan Sadrfaridpour, et al. ∙

research

∙ 10/25/2016

Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)

Topic modeling, a method for extracting the underlying themes from a col...

0 Chris Gropp, et al. ∙

research

∙ 04/07/2016

Multilevel Weighted Support Vector Machine for Classification on Healthcare Data with Missing Values

This work is motivated by the needs of predictive analytics on healthcar...

0 Talayeh Razzaghi, et al. ∙

research

∙ 03/21/2015

Fast Imbalanced Classification of Healthcare Data with Missing Values

In medical domain, data features often contain missing values. This can ...

0 Talayeh Razzaghi, et al. ∙

research

∙ 10/13/2014

Fast Multilevel Support Vector Machines

Solving different types of optimization models (including parameters fit...

0 Talayeh Razzaghi, et al. ∙

Ilya Safro

Featured Co-authors