George D. Montañez

43 papers A* 1A 1B 8C 3Misc 1Journal 10Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Model Characterization with Inductive Orientation Vectors.
ICAART (2)
Kerria Pang-Naylor, Eric Chen, George D. Montañez
2024 — conf
From Targets to Rewards: Continuous Target Sets in the Algorithmic Search Framework.
ICAART (3)
Milo Knell, Sahil Rane, Forrest Bicker, Tiger Che, Alan Wu, George D. Montañez
2023 B conf
Finite-Sample Bounds for Two-Distribution Hypothesis Tests.
DSAA
Cynthia Hom, William Yik, George D. Montañez
2022 B conf
Bounding Generalization Error Through Bias and Capacity.
IJCNN
Ramya Ramalingam, Nicolas A. Espinosa Dice, Megan L. Kaye, George D. Montañez
2022 — conf
Generating the Gopher's Grounds: Form, Function, Order, and Alignment.
ICAART (Revised Selected Paper
Jiayi Zhao, Anshul Kamath, Nick Grisanti, George D. Montañez
2022 C conf
Identifying Bias in Data Using Two-Distribution Hypothesis Tests.
AIES
William Yik, Limnanthes Serafini, Timothy Lindsey, George D. Montañez
2022 — conf
The Gopher Grounds: Testing the Link between Structure and Function in Simple Machines.
ICAART (2)
Anshul Kamath, Jiayi Zhao, Nick Grisanti, George D. Montañez
2022 — conf
Vectorization of Bias in Machine Learning Algorithms.
ICAART (2)
Sophie Bekerman, Eric Chen, Lily Lin, George D. Montañez
2021 — conf
A Probabilistic Theory of Abductive Reasoning.
ICAART (2)
Nicolas A. Espinosa Dice, Megan L. Kaye, Hana Ahmed, George D. Montañez
2021 B conf
Hyperparameter Choice as Search Bias in AlphaZero.
SMC
Eric M. Weiner, George D. Montañez, Aaron Trujillo, Abtin Molavi
2021 J jnl
Permutation Encoding for Text Steganography: A Short Tutorial.
CoRR
George D. Montañez
2021 — conf
The Gopher's Gambit: Survival Advantages of Artifact-based Intention Perception.
ICAART (1)
Cynthia Hom, Amani R. Maina-Kilaas, Kevin Ginta, Cindy Lay, George D. Montañez
2021 C conf
The Hero's Dilemma: Survival Advantages of Intention Perception in Virtual Agent Games.
CoG
Amani R. Maina-Kilaas, George D. Montañez, Cynthia Hom, Kevin Ginta, Cindy Lay
2021 — conf
The Label Recorder Method - Testing the Memorization Capacity of Machine Learning Models.
LOD
Kyle Rong, Aditya Khant, David Flores, George D. Montañez
2021 B conf
The Predator's Purpose: Intention Perception in Simulated Agent Environments.
CEC
Amani R. Maina-Kilaas, Cynthia Hom, Kevin Ginta, George D. Montañez
2021 J jnl
Undecidability of Underfitting in Learning Algorithms.
CoRR
Sonia Sehra, David Flores, George D. Montañez
2020 — conf
A Castro Consensus: Understanding the Role of Dependence in Consensus Formation.
TTO
Jarred Allen, Cindy Lay, George D. Montañez
2020 — conf
An Information-Theoretic Perspective on Overfitting and Underfitting.
Australasian Conference on Artificial Intelligence
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
2020 J jnl
An Information-Theoretic Perspective on Overfitting and Underfitting.
CoRR
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
2020 — conf
Decomposable Probability-of-Success Metrics in Algorithmic Search.
ICAART (2)
Tyler Sam, Jake Williams, Abel Tadesse, Huey Sun, George D. Montañez
2020 J jnl
Decomposable Probability-of-Success Metrics in Algorithmic Search.
CoRR
Tyler Sam, Jake Williams, Abel Tadesse, Huey Sun, George D. Montañez
2020 — conf
Limits of Transfer Learning.
LOD (2)
Jake Williams, Abel Tadesse, Tyler Sam, Huey Sun, George D. Montañez
2020 J jnl
Limits of Transfer Learning.
CoRR
Jake Williams, Abel Tadesse, Tyler Sam, Huey Sun, George D. Montañez
2020 — conf
Minimal Complexity Requirements for Proteins and Other Combinatorial Recognition Systems.
BIOINFORMATICS
George D. Montañez, Laina Sanders, Howard Deshong
2020 — conf
The Bias-Expressivity Trade-off.
ICAART (2)
Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montañez
2020 — conf
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity.
ICAART (2)
Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
2020 — conf
Trading Bias for Expressivity in Artificial Learning.
ICAART (Revised Selected Papers)
George D. Montañez, Daniel Bashir, Julius Lauw
2019 J jnl
The Bias-Expressivity Trade-off.
CoRR
Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti, George D. Montañez
2019 — conf
The Futility of Bias-Free Learning and Search.
Australasian Conference on Artificial Intelligence
George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti
2019 J jnl
The Futility of Bias-Free Learning and Search.
CoRR
George D. Montañez, Jonathan Hayase, Julius Lauw, Dominique Macias, Akshay Trikha, Julia Vendemiatti
2019 J jnl
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity.
CoRR
Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
2017 Misc conf
Estimating the Prevalence of Religious Content in Intelligent Design Social Media.
IRI
George D. Montañez
2017 B conf
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling.
IJCNN
George D. Montañez, Cosma Rohilla Shalizi
2017 B conf
The famine of forte: Few search problems greatly favor your algorithm.
SMC
George D. Montañez
2016 — conf
Detecting Intelligence - The Turing Test and Other Design Detection Methodologies.
ICAART (2)
George D. Montañez
2016 J jnl
The Famine of Forte: Few Search Problems Greatly Favor Your Algorithm.
CoRR
George D. Montañez
2016 — —
Why Machine Learning Works.
George D. Montañez
2015 A* conf
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series.
AAAI
George D. Montañez, Saeed Amizadeh, Nikolay Laptev
2015 J jnl
The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction.
CoRR
George D. Montañez, Cosma Rohilla Shalizi
2014 A conf
Cross-Device Search.
CIKM
George D. Montañez, Ryen W. White, Xiao Huang
2013 B conf
Bounding the number of favorable functions in stochastic search.
IEEE Congress on Evolutionary Computation
George D. Montañez
2013 B conf
Information transmission through genetic algorithm fitness maps.
IEEE Congress on Evolutionary Computation
George D. Montañez
2012 C conf
Assessing reliability of protein-protein interactions by gene ontology integration.
CIBCB
George D. Montañez, Young-Rae Cho