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D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8110
World Ranking
7571
National Ranking
2078

Overview

Alexander T. Ihler is affiliated with the University of California, Irvine in the United States. Their research spans multiple fields, with a core focus in computer science and engineering. Their work involves various subfields including computer networks and communications, artificial intelligence, aerospace engineering, computer vision and pattern recognition, and management science and operations research.

Their main research topics cover areas such as UAV applications and optimization, distributed control multi-agent systems, Bayesian modeling and causal inference, mobile ad hoc networks, opportunistic and delay-tolerant networks, constraint satisfaction and optimization, and optimal experimental design methods.

Alexander T. Ihler's publication record includes papers in a range of venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Aerospace and Electronic Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access
  • International Journal of Computers Communications & Control

Notable recent papers by Alexander T. Ihler include:

  • "Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network," 2020, IEEE Access
  • "A Cross-Layer, Mobility, and Congestion-Aware Routing Protocol for UAV Networks," 2022, IEEE Transactions on Aerospace and Electronic Systems
  • "A Deep-$Q$-Learning-Based Base-Station-Connectivity-Aware Decentralized Pheromone Mobility Model for Autonomous UAV Networks," 2024, IEEE Transactions on Aerospace and Electronic Systems
  • "A Deep Choice Model for Hiring Outcome Prediction in Online Labor Markets," 2020, International Journal of Computers Communications & Control
  • "Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks," 2022, arXiv (Cornell University)

Frequent collaborators in Alexander T. Ihler's research include Sunil Kumar, Shivam Garg, Shreyas Devaraju, Rina Dechter, and Elizabeth Serena Bentley.

Best Publications

  • Nonparametric belief propagation for self-localization of sensor networks

    A.T. Ihler;J.W. Fisher;R.L. Moses;A.S. Willsky

  • Nonparametric belief propagation

    Erik B. Sudderth;Alexander T. Ihler;Michael Isard;William T. Freeman

  • Fast collapsed gibbs sampling for latent dirichlet allocation

    Ian Porteous;David Newman;Alexander Ihler;Arthur Asuncion

  • Nonparametric belief propagation

    E.B. Sudderth;A.T. Ihler;W.T. Freeman;A.S. Willsky

  • Loopy Belief Propagation: Convergence and Effects of Message Errors

    Alexander T. Ihler;John W. Fischer;Alan S. Willsky

  • Variational Inference for Crowdsourcing

    Qiang Liu;Jian Peng;Alex T Ihler

  • Adaptive event detection with time-varying poisson processes

    Alexander Ihler;Jon Hutchins;Padhraic Smyth

  • Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis

    Mikhail Geyfman;Vivek Kumar;Qiang Liu;Rolando Ruiz

  • Distributed fusion in sensor networks

    M. Cetin;Lei Chen;J.W. Fisher;A.T. Ihler

  • Nonparametric belief propagation for self-calibration in sensor networks

    Alexander T. Ihler;John W. Fisher;Randolph L. Moses;Alan S. Willsky

  • Circadian Clock Genes Contribute to the Regulation of Hair Follicle Cycling

    Kevin K. Lin;Vivek Kumar;Mikhail Geyfman;Darya Chudova

  • Particle Belief Propagation

    Alexander T. Ihler;David A. McAllester

  • A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products

    Yumeng Tao;Xiaogang Gao;Kuolin Hsu;Soroosh Sorooshian

  • Efficient Multiscale Sampling from Products of Gaussian Mixtures

    Alexander T. Ihler;Erik B. Sudderth;William T. Freeman;Alan S. Willsky

  • Learning Scale Free Networks by Reweighted L1 regularization

    Qiang Liu;Alexander T. Ihler

  • Time-Restricted Feeding Shifts the Skin Circadian Clock and Alters UVB-Induced DNA Damage

    Hong Wang;Hong Wang;Hong Wang;Elyse van Spyk;Qiang Liu;Mikhail Geyfman

  • Distributed fusion in sensor networks: a graphical models perspective

    Müjdat Çetin;Lei Chen;John W. Fisher;Alexander T. Ihler

  • Modeling Count Data from Multiple Sensors: A Building Occupancy Model

    J. Hutchins;A. Ihler;P. Smyth

  • Variational algorithms for marginal MAP

    Qiang Liu;Alexander Ihler

  • Fast planar correlation clustering for image segmentation

    Julian Yarkony;Alexander Ihler;Charless C. Fowlkes

  • Bounding the Partition Function using Holder's Inequality

    Qiang Liu;Alexander T. Ihler

  • Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification

    David B. Keator;James H. Fallon;Anita Lakatos;Charless C. Fowlkes

Frequent Co-Authors

Qiang Liu
Qiang Liu Chinese Academy of Sciences
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Rina Dechter
Rina Dechter University of California, Irvine
Charless C. Fowlkes
Charless C. Fowlkes University of California, Irvine
Bogi Andersen
Bogi Andersen University of California, Irvine
Randolph L. Moses
Randolph L. Moses The Ohio State University
Max Welling
Max Welling University of Amsterdam
Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine

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