
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences
Preference are central to decision making by both machines and humans. R...
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Making HumanLike Tradeoffs in Constrained Environments by Learning from Demonstrations
Many reallife scenarios require humans to make difficult tradeoffs: do...
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Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation
Detecting navigable space is a fundamental capability for mobile robots ...
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LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications
Mobile applications (apps) often transmit sensitive data through network...
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Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks
Many real world systems need to operate on heterogeneous information net...
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Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis
Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are empl...
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Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
In collective decision making, where a voting rule is used to take a col...
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Quantifying Uncertainty in Stochastic Models with Parametric Variability
We present a method to quantify uncertainty in the predictions made by s...
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A sufficient condition on monotonic increase of the number of nonzero entry in the optimizer of L1 norm penalized leastsquare problem
The ℓ1 norm based optimization is widely used in signal processing, esp...
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Fast Fréchet Distance Between Curves With Long Edges
Computing Fréchet distance between two curves takes roughly quadratic ti...
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Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
We study multiarmed bandit problems with graph feedback, in which the d...
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Tempered fractional Brownian motion: wavelet estimation, modeling and testing
The Davenport spectrum is a modification of the classical Kolmogorov spe...
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StructurePreserving Transformation: Generating Diverse and Transferable Adversarial Examples
Adversarial examples are perturbed inputs designed to fool machine learn...
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On Bayesian Consistency for Flows Observed Through a Passive Scalar
We consider the statistical inverse problem of estimating a background f...
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Optimal Timing of Moving Target Defense: A Stackelberg Game Model
As an effective approach to thwarting advanced attacks, moving target de...
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Simplification of Indoor Space Footprints
Simplification is one of the fundamental operations used in geoinformati...
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Exact and Robust Reconstruction of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MDCRT)
The robust Chinese remainder theorem (CRT) has been recently proposed fo...
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Toward Optimal FDM Toolpath Planning with Monte Carlo Tree Search
The most widely used methods for toolpath planning in fused deposition 3...
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Approximating GromovHausdorff Distance in Euclidean Space
The GromovHausdorff distance (d_GH) proves to be a useful distance meas...
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SpatialTemporal Moving Target Defense: A Markov Stackelberg Game Model
Moving target defense has emerged as a critical paradigm of protecting a...
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A MultiChannel Neural Graphical Event Model with Negative Evidence
Event datasets are sequences of events of various types occurring irregu...
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Combinatorial Properties of SelfOverlapping Curves and Interior Boundaries
We study the interplay between the recently defined concept of minimum h...
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On the Approximate Nearest Neighbor Queries among Curves under the Fréchet Distance
Approximate nearest neighbor search (ANNS) is a longstudied problem in ...
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PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
In peer selection agents must choose a subset of themselves for an award...
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Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Multimodal fusion benefits disease diagnosis by providing a more compreh...
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Causal inference of brain connectivity from fMRI with ψLearning Incorporated Linear nonGaussian Acyclic Model (ψLiNGAM)
Functional connectivity (FC) has become a primary means of understanding...
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Towards Novel Target Discovery Through OpenSet Domain Adaptation
Openset domain adaptation (OSDA) considers that the target domain conta...
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Improving application performance with biased distributions of quantum states
We consider the properties of a specific distribution of mixed quantum s...
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Peer Selection with Noisy Assessments
In the peer selection problem a group of agents must select a subset of ...
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Quantum CPOs
We introduce the monoidal closed category qCPO of quantum cpos, whose ob...
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Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Recent work has raised concerns on the risk of spurious correlations and...
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MinimumComplexity Graph Simplification under FréchetLike Distances
Simplifying graphs is a very applicable problem in numerous domains, esp...
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