b'Siqi Liu'

research

∙ 09/14/2023

Virchow: A Million-Slide Digital Pathology Foundation Model

Computational pathology uses artificial intelligence to enable precision...

0 Eugene Vorontsov, et al. ∙

research

∙ 08/29/2023

New Codes on High Dimensional Expanders

We describe a new parameterized family of symmetric error-correcting cod...

0 Irit Dinur, et al. ∙

research

∙ 05/23/2023

EDIS: Entity-Driven Image Search over Multimodal Web Content

Making image retrieval methods practical for real-world search applicati...

0 Siqi Liu, et al. ∙

research

∙ 12/06/2022

Beyond Object Recognition: A New Benchmark towards Object Concept Learning

Understanding objects is a central building block of artificial intellig...

0 Yong-Lu Li, et al. ∙

research

∙ 10/17/2022

Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers

Solution concepts such as Nash Equilibria, Correlated Equilibria, and Co...

0 Luke Marris, et al. ∙

research

∙ 10/01/2022

Local and global expansion in random geometric graphs

Consider a random geometric 2-dimensional simplicial complex X sampled a...

0 Siqi Liu, et al. ∙

research

∙ 09/22/2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments

The Game Theory Multi-Agent team at DeepMind studies several aspects...

3 Ian Gemp, et al. ∙

research

∙ 09/17/2022

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

Deep learning models have shown impressive results in a variety of time ...

0 Siqi Liu, et al. ∙

research

∙ 05/31/2022

Simplex NeuPL: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games

Learning to play optimally against any mixture over a diverse set of str...

0 Siqi Liu, et al. ∙

research

∙ 04/21/2022

Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach

Actor-critic algorithms that make use of distributional policy evaluatio...

0 Bobak Shahriari, et al. ∙

research

∙ 03/02/2022

Code Smells in Machine Learning Systems

As Deep learning (DL) systems continuously evolve and grow, assuring the...

0 Jiri Gesi, et al. ∙

research

∙ 02/15/2022

NeuPL: Neural Population Learning

Learning in strategy games (e.g. StarCraft, poker) requires the discover...

0 Siqi Liu, et al. ∙

research

∙ 11/22/2021

Testing thresholds for high-dimensional sparse random geometric graphs

In the random geometric graph model 𝖦𝖾𝗈_d(n,p), we identify each of our ...

0 Siqi Liu, et al. ∙

research

∙ 11/17/2021

Hypercontractivity on High Dimensional Expanders: Approximate Efron-Stein Decompositions for ε-Product Spaces

We prove hypercontractive inequalities on high dimensional expanders. As...

0 Tom Gur, et al. ∙

research

∙ 10/08/2021

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity

Strategic diversity is often essential in games: in multi-player games, ...

0 Marta Garnelo, et al. ∙

research

∙ 07/10/2021

Drug-Target Interaction Prediction with Graph Attention networks

Motivation: Predicting Drug-Target Interaction (DTI) is a well-studied t...

0 Haiyang Wang, et al. ∙

research

∙ 06/08/2021

Supporting Multiparty Signing over Named Data Networking

Modern digitally controlled systems require multiparty authentication an...

0 Zhiyi Zhang, et al. ∙

research

∙ 06/07/2021

Launchpad: A Programming Model for Distributed Machine Learning Research

A major driver behind the success of modern machine learning algorithms ...

0 Fan Yang, et al. ∙

research

∙ 05/25/2021

From Motor Control to Team Play in Simulated Humanoid Football

Intelligent behaviour in the physical world exhibits structure at multip...

2 Siqi Liu, et al. ∙

research

∙ 01/26/2021

Computational phase transitions in sparse planted problems?

In recent times the cavity method, a statistical physics-inspired heuris...

0 Siqi Liu, et al. ∙

research

∙ 12/16/2020

Event-based Motion Segmentation with Spatio-Temporal Graph Cuts

Identifying independently moving objects is an essential task for dynami...

5 Yi Zhou, et al. ∙

research

∙ 08/13/2020

Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digita

Purpose: To leverage volumetric quantification of airspace disease (AD) ...

67 Eduardo Mortani Barbosa Jr., et al. ∙

research

∙ 06/22/2020

dm_control: Software and Tasks for Continuous Control

The dm_control software package is a collection of Python libraries and ...

18 Yuval Tassa, et al. ∙

research

∙ 06/09/2020

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Purpose: To present a method that automatically segments and quantifies ...

18 Shikha Chaganti, et al. ∙

research

∙ 06/01/2020

MLOS: An Infrastructure for Automated Software Performance Engineering

Developing modern systems software is a complex task that combines busin...

0 Carlo Curino, et al. ∙

research

∙ 06/01/2020

MLOS: An Infrastructure for AutomatedSoftware Performance Engineering

Developing modern systems software is a complex task that combines busin...

0 Carlo Curino, et al. ∙

research

∙ 05/05/2020

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19

The Coronavirus Disease (COVID-19) has affected 1.8 million people and r...

28 Siqi Liu, et al. ∙

research

∙ 04/15/2020

Sentiment Analysis of Yelp Reviews: A Comparison of Techniques and Models

We use over 350,000 Yelp reviews on 5,000 restaurants to perform an abla...

0 Siqi Liu, et al. ∙

research

∙ 04/02/2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Purpose: To present a method that automatically detects and quantifies a...

12 Shikha Chaganti, et al. ∙

research

∙ 03/18/2020

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images

With the injection of contrast material into blood vessels, multi-phase ...

8 Donghao Zhang, et al. ∙

research

∙ 03/08/2020

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks

Detecting malignant pulmonary nodules at an early stage can allow medica...

6 Siqi Liu, et al. ∙

research

∙ 12/19/2019

Contextual Outlier Detection in Continuous-Time Event Sequences

Continuous-time event sequences represent discrete events occurring in c...

0 Siqi Liu, et al. ∙

research

∙ 09/27/2019

A Generalized Training Approach for Multiagent Learning

This paper investigates a population-based training regime based on game...

20 Paul Müller, et al. ∙

research

∙ 09/26/2019

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

Some of the most successful applications of deep reinforcement learning ...

0 H. Francis Song, et al. ∙

research

∙ 09/11/2019

Multi-Sensor 3D Object Box Refinement for Autonomous Driving

We propose a 3D object detection system with multi-sensor refinement in ...

0 Peiliang Li, et al. ∙

research

∙ 08/23/2019

Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms

Microsoft's internal big data analytics platform is comprised of hundred...

0 Liqun Shao, et al. ∙

research

∙ 07/24/2019

High-Dimensional Expanders from Expanders

We present an elementary way to transform an expander graph into a simpl...

0 Siqi Liu, et al. ∙

research

∙ 07/22/2019

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey

Owe to the recent advancements in Artificial Intelligence especially dee...

9 Siqi Liu, et al. ∙

research

∙ 02/19/2019

Emergent Coordination Through Competition

We study the emergence of cooperative behaviors in reinforcement learnin...

2 Siqi Liu, et al. ∙

research

∙ 12/28/2018

Class-Aware Adversarial Lung Nodule Synthesis in CT Images

Though large-scale datasets are essential for training deep learning sys...

14 Jie Yang, et al. ∙

research

∙ 12/04/2018

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition

The performance of medical image analysis systems is constrained by the ...

4 Siqi Liu, et al. ∙

research

∙ 11/23/2018

Hierarchical visuomotor control of humanoids

We aim to build complex humanoid agents that integrate perception, motor...

0 Josh Merel, et al. ∙

research

∙ 03/18/2018

Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme

Drawing a beautiful painting is a dream of many people since childhood. ...

0 Jinning Li, et al. ∙

research

∙ 11/23/2017

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

While deep convolutional neural networks (CNN) have been successfully ap...

0 Siqi Liu, et al. ∙

research

∙ 09/22/2017

On the Competition Complexity of Dynamic Mechanism Design

The Competition Complexity of an auction measures how much competition i...

0 Siqi Liu, et al. ∙

research

∙ 08/03/2017

Detection of Abnormal Input-Output Associations

We study a novel outlier detection problem that aims to identify abnorma...

0 Charmgil Hong, et al. ∙

research

∙ 12/01/2016

Improved Image Captioning via Policy Gradient optimization of SPIDEr

Current image captioning methods are usually trained via (penalized) max...

0 Siqi Liu, et al. ∙

Siqi Liu

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