George D. Montañez

According to our database, George D. Montañez authored at least 35 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework.

Milo Knell, Sahil Rane, Forrest Bicker, Tiger Che, Alan Wu, George D. Montañez

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Finite-Sample Bounds for Two-Distribution Hypothesis Tests.

Cynthia Hom, William Yik, George D. Montañez

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Bounding Generalization Error Through Bias and Capacity.

Ramya Ramalingam, Nicolas A. Espinosa Dice, Megan L. Kaye, George D. Montañez

Proceedings of the International Joint Conference on Neural Networks, 2022

Generating the Gopher's Grounds: Form, Function, Order, and Alignment.

Jiayi Zhao, Anshul Kamath, Nick Grisanti, George D. Montañez

Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022

The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines.

Anshul Kamath, Jiayi Zhao, Nick Grisanti, George D. Montañez

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Vectorization of Bias in Machine Learning Algorithms.

Sophie Bekerman, Eric Chen, Lily Lin, George D. Montañez

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Identifying Bias in Data Using Two-Distribution Hypothesis Tests.

William Yik, Limnanthes Serafini, Timothy Lindsey, George D. Montañez

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Permutation Encoding for Text Steganography: A Short Tutorial.

George D. Montañez

CoRR, 2021

Undecidability of Underfitting in Learning Algorithms.

Sonia Sehra, David Flores, George D. Montañez

CoRR, 2021

Hyperparameter Choice as Search Bias in AlphaZero.

Eric M. Weiner, George D. Montañez, Aaron Trujillo, Abtin Molavi

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

The Label Recorder Method - Testing the Memorization Capacity of Machine Learning Models.

Kyle Rong, Aditya Khant, David Flores, George D. Montañez

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

The Gopher's Gambit: Survival Advantages of Artifact-based Intention Perception.

Cynthia Hom, Amani R. Maina-Kilaas, Kevin Ginta, Cindy Lay, George D. Montañez

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

A Probabilistic Theory of Abductive Reasoning.

Nicolas A. Espinosa Dice, Megan L. Kaye, Hana Ahmed, George D. Montañez

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.

Amani R. Maina-Kilaas, George D. Montañez, Cynthia Hom, Kevin Ginta, Cindy Lay

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

The Predator's Purpose: Intention Perception in Simulated Agent Environments.

Amani R. Maina-Kilaas, Cynthia Hom, Kevin Ginta, George D. Montañez

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A Castro Consensus: Understanding the Role of Dependence in Consensus Formation.

Jarred Allen, Cindy Lay, George D. Montañez

Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), 2020

Limits of Transfer Learning.

Jake Williams, Abel Tadesse, Tyler Sam, Huey Sun, George D. Montañez

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity.

Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Decomposable Probability-of-Success Metrics in Algorithmic Search.

Tyler Sam, Jake Williams, Abel Tadesse, Huey Sun, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Trading Bias for Expressivity in Artificial Learning.

George D. Montañez, Daniel Bashir, Julius Lauw

Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020

The Bias-Expressivity Trade-off.

Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montañez

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Minimal Complexity Requirements for Proteins and Other Combinatorial Recognition Systems.

George D. Montañez, Laina Sanders, Howard Deshong

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

An Information-Theoretic Perspective on Overfitting and Underfitting.

Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

The Futility of Bias-Free Learning and Search.

George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2017

The famine of forte: Few search problems greatly favor your algorithm.

George D. Montañez

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Estimating the Prevalence of Religious Content in Intelligent Design Social Media.

George D. Montañez

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling.

George D. Montañez, Cosma Rohilla Shalizi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Why Machine Learning Works.

George D. Montañez

PhD thesis, 2016

Detecting Intelligence - The Turing Test and Other Design Detection Methodologies.

George D. Montañez

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2015

The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction.

George D. Montañez, Cosma Rohilla Shalizi

CoRR, 2015

Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series.

George D. Montañez, Saeed Amizadeh, Nikolay Laptev

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Cross-Device Search.

George D. Montañez, Ryen W. White, Xiao Huang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Bounding the number of favorable functions in stochastic search.

George D. Montañez

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Information transmission through genetic algorithm fitness maps.

George D. Montañez

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Assessing reliability of protein-protein interactions by gene ontology integration.

George D. Montañez, Young-Rae Cho

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012