521 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rutgers, The State University of New JerseyUS164 papers
- Fermi National Accelerator LaboratoryUS45 papers
- California Institute of TechnologyUS44 papers
- Carnegie Mellon UniversityUS37 papers
- University of California, Santa BarbaraUS37 papers
- University of ChicagoUS37 papers
- University of Minnesota SystemUS36 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES35 papers
- Unidades Centrales Científico-TécnicasES35 papers
- University of California, RiversideUS35 papers
- University of California, DavisUS34 papers
- Florida Department of StateUS33 papers
11 papers · 1 filter
Kinetically-stabilized Ferroelectricity in Bulk Singlecrystalline HfO2:Y without Wake-up Effects
Xianghan Xu, Fei-Ting Huang, Yubo Qi +6
HfO2, a simple binary oxide, holds ultra-scalable ferroelectricity integrable into silicon technology. Polar orthorhombic (Pbc21) form in ultra-thin-films ascribes as the plausible…
A Topological Filter for Learning with Label Noise
Pengxiang Wu, Songzhu Zheng, Mayank Goswami +2
Noisy labels can impair the performance of deep neural networks. To tackle this problem, in this paper, we propose a new method for filtering label noise. Unlike most existing meth…
The Relationship between Deteriorating Mental Health Conditions and Longitudinal Behavioral Changes in Google and YouTube Usages among College Students in the United States during COVID-19: Observational Study
Anis Zaman, Boyu Zhang, Ehsan Hoque +2
Mental health problems among the global population are worsened during the coronavirus disease (COVID-19). How individuals engage with online platforms such as Google Search and Yo…
Differentially Private Accelerated Optimization Algorithms
Nurdan Kuru, Ş. İlker Birbil, Mert Gurbuzbalaban +1
We present two classes of differentially private optimization algorithms derived from the well-known accelerated first-order methods. The first algorithm is inspired by Polyak's he…
An Easy-to-Implement Hierarchical Standardization for Variable Selection Under Strong Heredity Constraint
Kedong Chen, William Li, Sijian Wang
For many practical problems, the regression models follow the strong heredity property (also known as the marginality), which means they include parent main effects when a second-o…
Discourse Coherence, Reference Grounding and Goal Oriented Dialogue
Baber Khalid, Malihe Alikhani, Michael Fellner +2
Prior approaches to realizing mixed-initiative human--computer referential communication have adopted information-state or collaborative problem-solving approaches. In this paper,…
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani, Joan Bruna, Bugra Can +3
We introduce a framework for designing primal methods under the decentralized optimization setting where local functions are smooth and strongly convex. Our approach consists of ap…
An Astrocyte-Modulated Neuromorphic Central Pattern Generator for Hexapod Robot Locomotion on Intel's Loihi
Ioannis Polykretis, Konstantinos P. Michmizos
Locomotion is a crucial challenge for legged robots that is addressed "effortlessly" by biological networks abundant in nature, named central pattern generators (CPG). The multitud…
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu, Martin Renqiang Min, Asim Kadav +1
We propose a sequential variational autoencoder to learn disentangled representations of sequential data (e.g., videos and audios) under self-supervision. Specifically, we exploit…
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Chunhua Deng, Siyu Liao, Yi Xie +3
Deep neural network (DNN) has emerged as the most important and popular artificial intelligent (AI) technique. The growth of model size poses a key energy efficiency challenge for…
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
Zhe Wang, Pradeep Subedi, Shaohua Duan +5
In order to achieve near-time insights, scientific workflows tend to be organized in a flexible and dynamic way. Data-driven triggering of tasks has been explored as a way to suppo…