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09/14/2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Computational pathology uses artificial intelligence to enable precision...
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08/29/2023
New Codes on High Dimensional Expanders
We describe a new parameterized family of symmetric error-correcting cod...
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05/23/2023
EDIS: Entity-Driven Image Search over Multimodal Web Content
Making image retrieval methods practical for real-world search applicati...
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12/06/2022
Beyond Object Recognition: A New Benchmark towards Object Concept Learning
Understanding objects is a central building block of artificial intellig...
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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...
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10/01/2022
Local and global expansion in random geometric graphs
Consider a random geometric 2-dimensional simplicial complex X sampled a...
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09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
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09/17/2022
DynaConF: Dynamic Forecasting of Non-Stationary Time-Series
Deep learning models have shown impressive results in a variety of time ...
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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...
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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...
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03/02/2022
Code Smells in Machine Learning Systems
As Deep learning (DL) systems continuously evolve and grow, assuring the...
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02/15/2022
NeuPL: Neural Population Learning
Learning in strategy games (e.g. StarCraft, poker) requires the discover...
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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 ...
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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...
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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, ...
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07/10/2021
Drug-Target Interaction Prediction with Graph Attention networks
Motivation: Predicting Drug-Target Interaction (DTI) is a well-studied t...
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06/08/2021
Supporting Multiparty Signing over Named Data Networking
Modern digitally controlled systems require multiparty authentication an...
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06/07/2021
Launchpad: A Programming Model for Distributed Machine Learning Research
A major driver behind the success of modern machine learning algorithms ...
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05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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01/26/2021
Computational phase transitions in sparse planted problems?
In recent times the cavity method, a statistical physics-inspired heuris...
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12/16/2020
Event-based Motion Segmentation with Spatio-Temporal Graph Cuts
Identifying independently moving objects is an essential task for dynami...
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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) ...
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06/22/2020
dm_control: Software and Tasks for Continuous Control
The dm_control software package is a collection of Python libraries and ...
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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 ...
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06/01/2020
MLOS: An Infrastructure for Automated Software Performance Engineering
Developing modern systems software is a complex task that combines busin...
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06/01/2020
MLOS: An Infrastructure for AutomatedSoftware Performance Engineering
Developing modern systems software is a complex task that combines busin...
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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...
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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...
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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...
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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 ...
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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...
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12/19/2019
Contextual Outlier Detection in Continuous-Time Event Sequences
Continuous-time event sequences represent discrete events occurring in c...
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09/27/2019
A Generalized Training Approach for Multiagent Learning
This paper investigates a population-based training regime based on game...
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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 ...
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09/11/2019
Multi-Sensor 3D Object Box Refinement for Autonomous Driving
We propose a 3D object detection system with multi-sensor refinement in ...
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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...
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07/24/2019
High-Dimensional Expanders from Expanders
We present an elementary way to transform an expander graph into a simpl...
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07/22/2019
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Owe to the recent advancements in Artificial Intelligence especially dee...
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02/19/2019
Emergent Coordination Through Competition
We study the emergence of cooperative behaviors in reinforcement learnin...
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12/28/2018
Class-Aware Adversarial Lung Nodule Synthesis in CT Images
Though large-scale datasets are essential for training deep learning sys...
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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 ...
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11/23/2018
Hierarchical visuomotor control of humanoids
We aim to build complex humanoid agents that integrate perception, motor...
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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. ...
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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...
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09/22/2017
On the Competition Complexity of Dynamic Mechanism Design
The Competition Complexity of an auction measures how much competition i...
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08/03/2017
Detection of Abnormal Input-Output Associations
We study a novel outlier detection problem that aims to identify abnorma...
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12/01/2016