Indiana University

∙ Bloomington , United States ∙ 0 followers

Indiana University is a multi-campus public university system in the state of Indiana, United States.

srlearn: A Python Library for Gradient-Boosted Statistical Relational Models

We present srlearn, a Python library for boosted statistical relational ...
12/17/2019 ∙ by Alexander L. Hayes, et al. ∙ 47 ∙ share

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Accelerating Goal-Directed Reinforcement Learning by Model Characterization

We propose a hybrid approach aimed at improving the sample efficiency in...
01/04/2019 ∙ by Shoubhik Debnath, et al. ∙ 34 ∙ share

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Scientific Image Restoration Anywhere

The use of deep learning models within scientific experimental facilitie...
11/12/2019 ∙ by Vibhatha Abeykoon, et al. ∙ 23 ∙ share

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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...
06/04/2020 ∙ by Satoshi Tsutsui, et al. ∙ 22 ∙ share

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Bayesian Nonparametrics for Non-exhaustive Learning

Non-exhaustive learning (NEL) is an emerging machine-learning paradigm d...
08/26/2019 ∙ by Yicheng Cheng, et al. ∙ 19 ∙ share

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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...
11/16/2019 ∙ by Qian Lou, et al. ∙ 11 ∙ share

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Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes

We propose a principled kernel-based policy iteration algorithm to solve...
06/03/2020 ∙ by Junhong Xu, et al. ∙ 9 ∙ share

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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...
01/04/2019 ∙ by Shoubhik Debnath, et al. ∙ 8 ∙ share

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Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces

Value-based approaches can be difficult to use in continuous action spac...
10/22/2018 ∙ by Sungsu Lim, et al. ∙ 6 ∙ share

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Generalized Penalty for Circular Coordinate Representation

Topological Data Analysis (TDA) provides novel approaches that allow us ...
06/03/2020 ∙ by Hengrui Luo, et al. ∙ 6 ∙ share

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Simulating Molecular Dynamics with Large Timesteps using Recurrent Neural Networks

Molecular dynamics simulations rely on numerical integrators such as Ver...
04/12/2020 ∙ by JCS Kadupitiya, et al. ∙ 5 ∙ share

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Geometric All-Way Boolean Tensor Decomposition

Boolean tensor has been broadly utilized in representing high dimensiona...
07/31/2020 ∙ by Changlin Wan, et al. ∙ 5 ∙ share

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Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains

Model-based strategies for control are critical to obtain sample efficie...
06/12/2018 ∙ by Yangchen Pan, et al. ∙ 4 ∙ share

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Support Neighbor Loss for Person Re-Identification

Person re-identification (re-ID) has recently been tremendously boosted ...
08/18/2018 ∙ by Kai Li, et al. ∙ 4 ∙ share

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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...
09/09/2019 ∙ by Changlin Wan, et al. ∙ 4 ∙ share

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Domain Conditioned Adaptation Network

Tremendous research efforts have been made to thrive deep domain adaptat...
05/14/2020 ∙ by Shuang Li, et al. ∙ 2 ∙ share

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Using Synthetic Data to Train Neural Networks is Model-Based Reasoning

We draw a formal connection between using synthetic training data to opt...
03/02/2017 ∙ by Tuan Anh Le, et al. ∙ 0 ∙ share

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Composing inference algorithms as program transformations

Probabilistic inference procedures are usually coded painstakingly from ...
03/06/2016 ∙ by Robert Zinkov, et al. ∙ 0 ∙ share

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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...
01/14/2016 ∙ by Baichuan Zhang, et al. ∙ 0 ∙ share

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Incremental Method for Spectral Clustering of Increasing Orders

The smallest eigenvalues and the associated eigenvectors (i.e., eigenpai...
12/23/2015 ∙ by Pin-Yu Chen, et al. ∙ 0 ∙ share

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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...
11/29/2017 ∙ by Filip Miscevic, et al. ∙ 0 ∙ share

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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...
06/26/2017 ∙ by Artemy Kolchinsky, et al. ∙ 0 ∙ share

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Gendered Conversation in a Social Game-Streaming Platform

Online social media and games are increasingly replacing offline social ...
11/20/2016 ∙ by Supun Nakandala, et al. ∙ 0 ∙ share

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On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising

We present a psychoacoustically enhanced cost function to balance networ...
01/29/2018 ∙ by Kai Zhen, et al. ∙ 0 ∙ share

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Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads

We propose smooth q-gram, the first variant of q-gram that captures q-gr...
02/04/2018 ∙ by Haoyu Zhang, et al. ∙ 0 ∙ share

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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...
02/12/2018 ∙ by Xiaoyang Zhong, et al. ∙ 0 ∙ share

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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...
03/11/2018 ∙ by Chen Huang, et al. ∙ 0 ∙ share

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PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning

One of the most exciting advancements in AI over the last decade is the ...
03/14/2018 ∙ by Tao Liu, et al. ∙ 0 ∙ share

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DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

As one of most fascinating machine learning techniques, deep neural netw...
03/14/2018 ∙ by Zihao Liu, et al. ∙ 0 ∙ share

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Hierarchical RNN for Information Extraction from Lawsuit Documents

Every lawsuit document contains the information about the party's claim,...
04/25/2018 ∙ by Xi Rao, et al. ∙ 0 ∙ share

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High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication

Subgraph counting aims to count the number of occurrences of a subgraph ...
04/25/2018 ∙ by Langshi Chen, et al. ∙ 0 ∙ share

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Tight Bounds for Collaborative PAC Learning via Multiplicative Weights

We study the collaborative PAC learning problem recently proposed in Blu...
05/23/2018 ∙ by Jiecao Chen, et al. ∙ 0 ∙ share

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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 ...
05/25/2018 ∙ by Meimei Liu, et al. ∙ 0 ∙ share

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A likelihood-ratio type test for stochastic block models with bounded degrees

A fundamental problem in network data analysis is to test Erdös-Rényi mo...
07/12/2018 ∙ by Mingao Yuan, et al. ∙ 0 ∙ share

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Generalized Capsule Networks with Trainable Routing Procedure

CapsNet (Capsule Network) was first proposed by capsule and later anothe...
08/27/2018 ∙ by Zhenhua Chen, et al. ∙ 0 ∙ share

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Code Generation for Higher Inductive Types

Higher inductive types are inductive types that include nontrivial highe...
08/24/2018 ∙ by Paventhan Vivekanandan, et al. ∙ 0 ∙ share

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Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data

Detecting anomalous activity in human mobility data has a number of appl...
09/08/2018 ∙ by Kathryn Gray, et al. ∙ 0 ∙ share

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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...
10/20/2018 ∙ by Haoyu Zhang, et al. ∙ 0 ∙ share

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Distinct Sampling on Streaming Data with Near-Duplicates

In this paper we study how to perform distinct sampling in the streaming...
10/29/2018 ∙ by Jiecao Chen, et al. ∙ 0 ∙ share

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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...
11/20/2018 ∙ by Daniel S Katz, et al. ∙ 0 ∙ share

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Recycled Least Squares Estimation in Nonlinear Regression

We consider a resampling scheme for parameters estimates in nonlinear re...
12/14/2018 ∙ by Ben Boukai, et al. ∙ 0 ∙ share

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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...
01/03/2019 ∙ by Shoubhik Debnath, et al. ∙ 0 ∙ share

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Optimal Nonparametric Inference under Quantization

Statistical inference based on lossy or incomplete samples is of fundame...
01/24/2019 ∙ by Ruiqi Liu, et al. ∙ 0 ∙ share

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Neural Related Work Summarization with a Joint Context-driven Attention Mechanism

Conventional solutions to automatic related work summarization rely heav...
01/28/2019 ∙ by Yongzhen Wang, et al. ∙ 0 ∙ share

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Recycled Two-Stage Estimation in Nonlinear Mixed Effects Regression Models

We consider a re-sampling scheme for estimation of the population parame...
02/03/2019 ∙ by Benzion Boukai, et al. ∙ 0 ∙ share

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Optimal Nonparametric Inference via Deep Neural Network

Deep neural network is a state-of-art method in modern science and techn...
02/05/2019 ∙ by Ruiqi Liu, et al. ∙ 0 ∙ share

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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...
02/06/2019 ∙ by Kai-Cheng Yang, et al. ∙ 0 ∙ share

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Multi-Dimensional Balanced Graph Partitioning via Projected Gradient Descent

Motivated by performance optimization of large-scale graph processing sy...
02/10/2019 ∙ by Dmitrii Avdiukhin, et al. ∙ 0 ∙ share

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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 ...
02/11/2019 ∙ by Fanbo Sun, et al. ∙ 0 ∙ share

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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...
02/15/2019 ∙ by Qian Lou, et al. ∙ 0 ∙ share

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