
srlearn: A Python Library for GradientBoosted Statistical Relational Models
We present srlearn, a Python library for boosted statistical relational ...
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Accelerating GoalDirected Reinforcement Learning by Model Characterization
We propose a hybrid approach aimed at improving the sample efficiency in...
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Scientific Image Restoration Anywhere
The use of deep learning models within scientific experimental facilitie...
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A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations betw...
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Bayesian Nonparametrics for Nonexhaustive Learning
Nonexhaustive learning (NEL) is an emerging machinelearning paradigm d...
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Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Big data is one of the cornerstones to enabling and training deep neural...
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Kernel TaylorBased Value Function Approximation for ContinuousState Markov Decision Processes
We propose a principled kernelbased policy iteration algorithm to solve...
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Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times
A new mechanism for efficiently solving the Markov decision processes (M...
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ActorExpert: A Framework for using ActionValue Methods in Continuous Action Spaces
Valuebased approaches can be difficult to use in continuous action spac...
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Generalized Penalty for Circular Coordinate Representation
Topological Data Analysis (TDA) provides novel approaches that allow us ...
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Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks
Molecular dynamics simulations rely on numerical integrators such as Ver...
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Geometric AllWay Boolean Tensor Decomposition
Boolean tensor has been broadly utilized in representing high dimensiona...
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Organizing Experience: A Deeper Look at Replay Mechanisms for Samplebased Planning in Continuous State Domains
Modelbased strategies for control are critical to obtain sample efficie...
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Support Neighbor Loss for Person ReIdentification
Person reidentification (reID) has recently been tremendously boosted ...
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MEBF: a fast and efficient Boolean matrix factorization method
Boolean matrix has been used to represent digital information in many fi...
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Domain Conditioned Adaptation Network
Tremendous research efforts have been made to thrive deep domain adaptat...
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Using Synthetic Data to Train Neural Networks is ModelBased Reasoning
We draw a formal connection between using synthetic training data to opt...
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Composing inference algorithms as program transformations
Probabilistic inference procedures are usually coded painstakingly from ...
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Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs
Link prediction, or predicting the likelihood of a link in a knowledge g...
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Incremental Method for Spectral Clustering of Increasing Orders
The smallest eigenvalues and the associated eigenvectors (i.e., eigenpai...
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Predicting and Explaining Human Semantic Search in a Cognitive Model
Recent work has attempted to characterize the structure of semantic memo...
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The Minor Fall, the Major Lift: Inferring Emotional Valence of Musical Chords through Lyrics
We investigate the association between musical chords and lyrics by anal...
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Gendered Conversation in a Social GameStreaming Platform
Online social media and games are increasingly replacing offline social ...
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On Psychoacoustically Weighted Cost Functions Towards ResourceEfficient Deep Neural Networks for Speech Denoising
We present a psychoacoustically enhanced cost function to balance networ...
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Smooth qGram, and Its Applications to Detection of Overlaps among Long, ErrorProne Sequencing Reads
We propose smooth qgram, the first variant of qgram that captures qgr...
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Scalable Downward Routing for Wireless Sensor Networks and Internet of Things Actuation
In this paper, we study the downward routing for network control/actuati...
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Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation
We investigate the scenario that a robot needs to reach a designated goa...
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PTSpike: A PreciseTimeDependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
One of the most exciting advancements in AI over the last decade is the ...
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DeepNJPEG: A Deep Neural Network Favorable JPEGbased Image Compression Framework
As one of most fascinating machine learning techniques, deep neural netw...
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Hierarchical RNN for Information Extraction from Lawsuit Documents
Every lawsuit document contains the information about the party's claim,...
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HighPerformance Massive Subgraph Counting using Pipelined AdaptiveGroup Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
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Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
We study the collaborative PAC learning problem recently proposed in Blu...
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How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
This paper attempts to solve a basic problem in distributed statistical ...
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A likelihoodratio type test for stochastic block models with bounded degrees
A fundamental problem in network data analysis is to test ErdösRényi mo...
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Generalized Capsule Networks with Trainable Routing Procedure
CapsNet (Capsule Network) was first proposed by capsule and later anothe...
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Code Generation for Higher Inductive Types
Higher inductive types are inductive types that include nontrivial highe...
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Coupled IGMMGANs for deep multimodal anomaly detection in human mobility data
Detecting anomalous activity in human mobility data has a number of appl...
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MinJoin: Efficient Edit Similarity Joins via Local Hash Minimums
In this paper we study edit similarity joins, in which we are given a se...
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Distinct Sampling on Streaming Data with NearDuplicates
In this paper we study how to perform distinct sampling in the streaming...
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Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained
Software is the key crosscutting technology that enables advances in mat...
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Recycled Least Squares Estimation in Nonlinear Regression
We consider a resampling scheme for parameters estimates in nonlinear re...
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Reachability and Differential based Heuristics for Solving Markov Decision Processes
The solution convergence of Markov Decision Processes (MDPs) can be acce...
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Optimal Nonparametric Inference under Quantization
Statistical inference based on lossy or incomplete samples is of fundame...
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Neural Related Work Summarization with a Joint Contextdriven Attention Mechanism
Conventional solutions to automatic related work summarization rely heav...
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Recycled TwoStage Estimation in Nonlinear Mixed Effects Regression Models
We consider a resampling scheme for estimation of the population parame...
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Optimal Nonparametric Inference via Deep Neural Network
Deep neural network is a stateofart method in modern science and techn...
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Bot Electioneering Volume: Visualizing Social Bot Activity During Elections
It has been widely recognized that automated bots may have a significant...
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MultiDimensional Balanced Graph Partitioning via Projected Gradient Descent
Motivated by performance optimization of largescale graph processing sy...
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Yelp Food Identification via Image Feature Extraction and Classification
Yelp has been one of the most popular local service search engine in US ...
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AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices
In this paper, we propose a hierarchical deep reinforcement learning (DR...
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Indiana University
Indiana University is a multicampus public university system in the state of Indiana, United States.