University of New Mexico

∙ Albuquerque , United States ∙ 0 followers

Located in beautiful Albuquerque, New Mexico with branch campuses all over the state, UNM offers a variety of challenging programs to a wide variety of students. Check out what's coming to Popejoy, Lobo games, campus museums and the duck pond!

Detection and Identification of Objects and Humans in Thermal Images

Intelligent detecting processing capabilities can be instrumental to imp...
10/08/2019 ∙ by Manish Bhattarai, et al. ∙ 9 ∙ share

read it
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records

We present an interpretable neural network for predicting an important c...
01/23/2019 ∙ by Alvaro E. Ulloa Cerna, et al. ∙ 8 ∙ share

read it
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments

Live fire creates a dynamic, rapidly changing environment that presents ...
11/12/2020 ∙ by Manish Bhattarai, et al. ∙ 6 ∙ share

read it
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies

This paper addresses two challenges facing sampling-based kinodynamic mo...
07/10/2019 ∙ by Hao-Tien Lewis Chiang, et al. ∙ 5 ∙ share

read it
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing

In this research we use a decentralized computing approach to allocate a...
09/21/2015 ∙ by Soumya Banerjee, et al. ∙ 0 ∙ share

read it
Programs as Polypeptides

We describe a visual programming language for defining behaviors manifes...
06/04/2015 ∙ by Lance R. Williams, et al. ∙ 0 ∙ share

read it
Hierarchical Composition of Memristive Networks for Real-Time Computing

Advances in materials science have led to physical instantiations of sel...
04/11/2015 ∙ by Jens Bürger, et al. ∙ 0 ∙ share

read it
Exploring Transfer Function Nonlinearity in Echo State Networks

Supralinear and sublinear pre-synaptic and dendritic integration is cons...
02/16/2015 ∙ by Alireza Goudarzi, et al. ∙ 0 ∙ share

read it
Product Reservoir Computing: Time-Series Computation with Multiplicative Neurons

Echo state networks (ESN), a type of reservoir computing (RC) architectu...
02/03/2015 ∙ by Alireza Goudarzi, et al. ∙ 0 ∙ share

read it
Towards a Calculus of Echo State Networks

Reservoir computing is a recent trend in neural networks which uses the ...
09/01/2014 ∙ by Alireza Goudarzi, et al. ∙ 0 ∙ share

read it
On Optimal Decision-Making in Ant Colonies

Colonies of ants can collectively choose the best of several nests, even...
08/19/2014 ∙ by Mahnush Movahedi, et al. ∙ 0 ∙ share

read it
A Comparative Study of Reservoir Computing for Temporal Signal Processing

Reservoir computing (RC) is a novel approach to time series prediction u...
01/10/2014 ∙ by Alireza Goudarzi, et al. ∙ 0 ∙ share

read it
DNA Reservoir Computing: A Novel Molecular Computing Approach

We propose a novel molecular computing approach based on reservoir compu...
06/25/2013 ∙ by Alireza Goudarzi, et al. ∙ 0 ∙ share

read it
Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis

Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are empl...
09/15/2016 ∙ by Owen Richfield, et al. ∙ 0 ∙ share

read it
Contradiction measures and specificity degrees of basic belief assignments

In the theory of belief functions, many measures of uncertainty have bee...
09/16/2011 ∙ by Florentin Smarandache, et al. ∙ 0 ∙ share

read it
A Unified SVM Framework for Signal Estimation

This paper presents a unified framework to tackle estimation problems in...
11/21/2013 ∙ by José Luis Rojo-Álvarez, et al. ∙ 0 ∙ share

read it
Controlling the Precision-Recall Tradeoff in Differential Dependency Network Analysis

Graphical models have gained a lot of attention recently as a tool for l...
07/09/2013 ∙ by Diane Oyen, et al. ∙ 0 ∙ share

read it
General combination rules for qualitative and quantitative beliefs

Martin and Osswald Martin07 have recently proposed many generalizations ...
06/28/2009 ∙ by Arnaud Martin, et al. ∙ 0 ∙ share

read it
Model Selection for Degree-corrected Block Models

The proliferation of models for networks raises challenging problems of ...
07/17/2012 ∙ by Xiaoran Yan, et al. ∙ 0 ∙ share

read it
Active Learning for Node Classification in Assortative and Disassortative Networks

In many real-world networks, nodes have class labels, attributes, or var...
09/15/2011 ∙ by Cristopher Moore, et al. ∙ 0 ∙ share

read it
An Annotated Corpus of Relational Strategies in Customer Service

We create and release the first publicly available commercial customer s...
08/17/2017 ∙ by Ian Beaver, et al. ∙ 0 ∙ share

read it
When Textbook RSA is Used to Protect the Privacy of Hundreds of Millions of Users

We evaluate Tencent's QQ Browser, a popular mobile browser in China with...
02/09/2018 ∙ by Jeffrey Knockel, et al. ∙ 0 ∙ share

read it
Distributed Symmetry Breaking in Sampling (Optimal Distributed Randomly Coloring with Fewer Colors)

We examine the problem of almost-uniform sampling proper q-colorings of ...
02/20/2018 ∙ by Weiming Feng, et al. ∙ 0 ∙ share

read it
BLEBeacon: A Real-Subject Trial Dataset from Mobile Bluetooth Low Energy Beacons

The BLEBeacon dataset is a collection of Bluetooth Low Energy (BLE) adve...
02/24/2018 ∙ by Dimitrios Sikeridis, et al. ∙ 0 ∙ share

read it
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR

The wide variety of brain imaging technologies allows us to exploit info...
04/04/2018 ∙ by Alvaro Ulloa, et al. ∙ 0 ∙ share

read it
Towards Complex Artificial Life

An object-oriented combinator chemistry was used to construct an artific...
05/16/2018 ∙ by Lance R. Williams, et al. ∙ 0 ∙ share

read it
A New Theoretical Evaluation Framework for Satisfaction Equilibria in Wireless Networks

In this paper, a theoretical evaluation framework regarding the Satisfac...
06/05/2018 ∙ by Michail Fasoulakis, et al. ∙ 0 ∙ share

read it
In situ TensorView: In situ Visualization of Convolutional Neural Networks

Convolutional Neural Networks(CNNs) are complex systems. They are traine...
06/16/2018 ∙ by Xinyu Chen, et al. ∙ 0 ∙ share

read it
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis

In (Yang et al. 2016), a hierarchical attention network (HAN) is created...
08/06/2018 ∙ by Cynthia Freeman, et al. ∙ 0 ∙ share

read it
Representation Learning by Reconstructing Neighborhoods

Since its introduction, unsupervised representation learning has attract...
11/05/2018 ∙ by Chin-Chia Michael Yeh, et al. ∙ 0 ∙ share

read it
Curricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations

In this paper we articulate a framework for quantifying the complexity o...
11/15/2018 ∙ by Gregory L. Heileman, et al. ∙ 0 ∙ share

read it
Rapid mixing of path integral Monte Carlo for 1D stoquastic Hamiltonians

Path integral quantum Monte Carlo (PIMC) is a method for estimating ther...
12/05/2018 ∙ by Elizabeth Crosson, et al. ∙ 0 ∙ share

read it
Understanding the Social Factors Affecting the Cryptocurrency Market

Blockchain and its application on cryptocurrency transactions have gathe...
01/13/2019 ∙ by Gourang Aggarwal, et al. ∙ 0 ∙ share

read it
Directed Formation Control of n Planar Agents with Distance and Area Constraints

In this paper, we take a first step towards generalizing a recently prop...
01/29/2019 ∙ by Tairan Liu, et al. ∙ 0 ∙ share

read it
A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)

We present Contextual Query Rewrite (CQR) a dataset for multi-domain tas...
03/28/2019 ∙ by Michael Regan, et al. ∙ 0 ∙ share

read it
Fully-Asynchronous Distributed Metropolis Sampler with Optimal Speedup

The Metropolis-Hastings algorithm is a fundamental Markov chain Monte Ca...
04/01/2019 ∙ by Weiming Feng, et al. ∙ 0 ∙ share

read it
Using Dynamic Analysis to Generate Disjunctive Invariants

Program invariants are important for defect detection, program verificat...
04/16/2019 ∙ by ThanhVu Nguyen, et al. ∙ 0 ∙ share

read it
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics

Widespread Chinese social media applications such as Weibo are widely kn...
06/26/2019 ∙ by Meisam Navaki Arefi, et al. ∙ 0 ∙ share

read it
Computational Design of Skinned Quad-Robots

We present a computational design system that assists users to model, op...
07/01/2019 ∙ by Xudong Feng, et al. ∙ 0 ∙ share

read it
Scalable and Secure Computation Among Strangers: Resource-Competitive Byzantine Protocols

Motivated, in part, by the rise of permissionless systems such as Bitcoi...
07/24/2019 ∙ by John Augustine, et al. ∙ 0 ∙ share

read it
A multi-fidelity neural network surrogate sampling method for uncertainty quantification

We propose a multi-fidelity neural network surrogate sampling method for...
08/28/2019 ∙ by Mohammad Motamed, et al. ∙ 0 ∙ share

read it
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning

Coordinated defensive escorts can aid a navigating payload by positionin...
10/09/2019 ∙ by Arpit Garg, et al. ∙ 0 ∙ share

read it
On the Minimal Set of Inputs Required for Efficient Neuro-Evolved Foraging

In this paper, we perform an ablation study of , a neuro-evolved foragin...
11/27/2019 ∙ by John Erickson, et al. ∙ 0 ∙ share

read it
A Most Irrational Foraging Algorithm

We present a foraging algorithm, GoldenFA, in which search direction is ...
11/27/2019 ∙ by Abhinav Aggarwal, et al. ∙ 0 ∙ share

read it
Multilevel Initialization for Layer-Parallel Deep Neural Network Training

This paper investigates multilevel initialization strategies for trainin...
12/19/2019 ∙ by Eric C. Cyr, et al. ∙ 0 ∙ share

read it
Simulating collective neutrinos oscillations on the Intel Many Integrated Core (MIC) architecture

We evaluate the second-generation Intel Xeon Phi coprocessor based on th...
12/23/2019 ∙ by Vahid Noormofidi, et al. ∙ 0 ∙ share

read it
Hermite-Discontinuous Galerkin Overset Grid Methods for the Scalar Wave Equation

We present high order accurate numerical methods for the wave equation t...
01/14/2020 ∙ by Oleksii Beznosov, et al. ∙ 0 ∙ share

read it
Classical Simulation of High Temperature Quantum Ising Models

We consider generalized quantum Ising models, including those which coul...
02/06/2020 ∙ by Elizabeth Crosson, et al. ∙ 0 ∙ share

read it
Compactly Representing Uniform Interpolants for EUF using (conditional) DAGS

The concept of a uniform interpolant for a quantifier-free formula from ...
02/22/2020 ∙ by Silvio Ghilardi, et al. ∙ 0 ∙ share

read it
A posteriori Error Estimation for the Spectral Deferred Correction Method

The spectral deferred correction method is a variant of the deferred cor...
03/06/2020 ∙ by Jehanzeb H. Chaudhry, et al. ∙ 0 ∙ share

read it

University of New Mexico

Featured Researchers