Michael C. Mozer

Orcid: 0000-0002-9654-0575

Affiliations:
  • University of Colorado, USA


According to our database1, Michael C. Mozer authored at least 157 papers between 1988 and 2024.

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Bibliography

2024
Improving Discrete Optimisation Via Decoupled Straight-Through Gumbel-Softmax.
CoRR, 2024

Racing Thoughts: Explaining Large Language Model Contextualization Errors.
CoRR, 2024

Aligning Machine and Human Visual Representations across Abstraction Levels.
CoRR, 2024

Zero-Shot Object-Centric Representation Learning.
CoRR, 2024

AI-Assisted Generation of Difficult Math Questions.
CoRR, 2024

Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery.
CoRR, 2024

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving.
CoRR, 2024

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training.
CoRR, 2024

Can AI Be as Creative as Humans?
CoRR, 2024

On the Foundations of Shortcut Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Human-like Learning in Temporally Structured Environments.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Neural Causal Structure Discovery from Interventions.
Trans. Mach. Learn. Res., 2023

Unlearning via Sparse Representations.
CoRR, 2023

Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior.
CoRR, 2023

DiscoGen: Learning to Discover Gene Regulatory Networks.
CoRR, 2023

Leveraging the Third Dimension in Contrastive Learning.
CoRR, 2023

Discrete Key-Value Bottleneck.
Proceedings of the International Conference on Machine Learning, 2023

Can Neural Network Memorization Be Localized?
Proceedings of the International Conference on Machine Learning, 2023

Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Induce Causal Structure.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning in temporally structured environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multitask Learning Via Interleaving: A Neural Network Investigation.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Layer-Stack Temperature Scaling.
CoRR, 2022

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
CoRR, 2022

Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel.
CoRR, 2022

Learning to Induce Causal Structure.
CoRR, 2022

Overcoming Temptation: Incentive Design For Intertemporal Choice.
CoRR, 2022

Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization.
CoRR, 2022

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning.
Proceedings of the International Conference on Machine Learning, 2022

Coordination Among Neural Modules Through a Shared Global Workspace.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Mitigating Bias in Calibration Error Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks.
Neural Comput., 2021

Online Unsupervised Learning of Visual Representations and Categories.
CoRR, 2021

Learning Neural Causal Models with Active Interventions.
CoRR, 2021

Training cascaded networks for speeded decisions using a temporal-difference loss.
CoRR, 2021

Compositional Embeddings for Multi-Label One-Shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Discrete-Valued Neural Communication.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Soft Calibration Objectives for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Production Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers.
Proceedings of the 38th International Conference on Machine Learning, 2021

Characterizing Structural Regularities of Labeled Data in Overparameterized Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Wandering within a world: Online contextualized few-shot learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments.
Proceedings of the 9th International Conference on Learning Representations, 2021

von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention.
Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

2020
Quantifying the Role of Vocabulary Knowledge in Predicting Future Word Learning.
IEEE Trans. Cogn. Dev. Syst., 2020

Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity.
CoRR, 2020

Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems.
CoRR, 2020

Exploring the Memorization-Generalization Continuum in Deep Learning.
CoRR, 2020

Highlights as an Early Predictor of Student Comprehension and Interests.
Cogn. Sci., 2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.
Proceedings of the 37th International Conference on Machine Learning, 2020

Identity Crisis: Memorization and Generalization Under Extreme Overparameterization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform.
Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), 2020

2019
Stochastic Prototype Embeddings.
CoRR, 2019

Convolutional Bipartite Attractor Networks.
CoRR, 2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.
CoRR, 2019

Sequential mastery of multiple tasks: Networks naturally learn to learn.
CoRR, 2019

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Deep neural network improves fracture detection by clinicians.
Proc. Natl. Acad. Sci. USA, 2018

Open-Ended Content-Style Recombination Via Leakage Filtering.
CoRR, 2018

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding.
CoRR, 2018

State-Denoised Recurrent Neural Networks.
CoRR, 2018

Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Deep Disentangled Embeddings With the F-Statistic Loss.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Textbook annotations as an early predictor of student learning.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Does Deep Knowledge Tracing Model Interactions Among Skills?
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Boosting Engagement with Educational Software Using Near Wins.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Improving Human-Machine Cooperative Visual Search With Soft Highlighting.
ACM Trans. Appl. Percept., 2017

Discrete Event, Continuous Time RNNs.
CoRR, 2017

Improving Human-Machine Cooperative Classification Via Cognitive Theories of Similarity.
Cogn. Sci., 2017

Forgetting of Foreign-Language Skills: A Corpus-Based Analysis of Online Tutoring Software.
Cogn. Sci., 2017

Learning to generate images with perceptual similarity metrics.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
How Deep is Knowledge Tracing?
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Designing Engaging Games Using Bayesian Optimization.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Learning to generate images with perceptual similarity metrics.
CoRR, 2015

Predicting a Child's Trajectory of Lexical Acquisition.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Maximizing Students' Retention via Spaced Review: Practical Guidance From Computational Models of Memory.
Top. Cogn. Sci., 2014

Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks.
Proceedings of the Posters, 2014

Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Integrating latent-factor and knowledge-tracing models to predict individual differences in learning.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Optimizing Instructional Policies.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Sequential Dependencies in Driving.
Cogn. Sci., 2012

2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Past Experience Influences Judgment of Pain: Prediction of Sequential Dependencies.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Improving Human Judgments by Decontaminating Sequential Dependencies.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Sequential effects reflect parallel learning of multiple environmental regularities.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Detecting Topic Drift with Compound Topic Models.
Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Blind Optimization for Exploiting Hardware Features.
Proceedings of the Compiler Construction, 18th International Conference, 2009

2008
Top-Down modulation of neural responses in visual perception: a computational exploration.
Nat. Comput., 2008

Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
Cogn. Sci., 2008

Temporal Dynamics of Cognitive Control.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Optimal Response Initiation: Why Recent Experience Matters.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity.
Neural Comput., 2007

Experience-Guided Search: A Theory of Attentional Control.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Monaural Speech Separation by Support Vector Machines: Bridging the Divide Between Supervised and Unsupervised Learning Methods.
Proceedings of the Blind Speech Separation, 2007

Sequential Dependencies in Human Behavior Offer Insights Into Cognitive Control.
Proceedings of the Integrated Models of Cognitive Systems., 2007

2006
Rational Models of Cognitive Control.
Proceedings of the Unconventional Computation, 5th International Conference, 2006

Context Effects in Category Learning: An Investigation of Four Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Automating vertical profiling.
Proceedings of the 20th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2005

Top-Down Control of Visual Attention: A Rational Account.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Theories of Access Consciousness.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

How Practice Makes Perfect.
Proceedings of the International Conference on Cognitive Modelling, 2004

2003
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic.
Proceedings of the Machine Learning, 2003

2002
Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Localist Attractor Networks.
Neural Comput., 2001

Mating Strategies in a Darwinian Microworld: Simulating the Consequences of Female Reproductive Refractoriness.
Adapt. Behav., 2001

Prodding the ROC Curve: Constrained Optimization of Classifier Performance.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A Rational Analysis of Cognitive Control in a Speeded Discrimination Task.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A Discrete Probabilistic Memory Model for Discovering Dependencies in Time.
Proceedings of the Artificial Neural Networks, 2001

2000
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry.
IEEE Trans. Neural Networks Learn. Syst., 2000

Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Template-based procedures for neural network interpretation.
Neural Networks, 1999

An Intelligent Environment Must Be Adaptive.
IEEE Intell. Syst., 1999

Room service, AI-style.
IEEE Intell. Syst., 1999

A Generative Model for Attractor Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Churn Reduction in the Wireless Industry.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Robust Recognition of Noisy and Superimposed Patterns via Selective Attention.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Dynamic On-line Clustering and State Extraction: An Approach to Symbolic Learning.
Neural Networks, 1998

A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Evidence-Based Static Branch Prediction Using Machine Learning.
ACM Trans. Program. Lang. Syst., 1997

Parsing the Stream of Time: The Value of Event-Based Segmentation in a Complex Real-World Control Problem.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

A Superadditive-Impairment Theory of Optic Aphasia.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Neural net Architectures in Modeling Compositional Syntax: Prediction and Perception of Continuity in Minimalist Works by Phillip Glass and Louis Andriessen.
Proceedings of the 1997 International Computer Music Conference, 1997

1996
The Neurothermostat: Predictive Optimal Control of Residential Heating Systems.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
Lending direction to neural networks.
Neural Networks, 1995

Corpus-Based Static Branch Prediction.
Proceedings of the ACM SIGPLAN'95 Conference on Programming Language Design and Implementation (PLDI), 1995

1994
Neural Network Music Composition by Prediction: Exploring the Benefits of Psychoacoustic Constraints and Multi-scale Processing.
Connect. Sci., 1994

On the Computational Utility of Consciousness.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Template-Based Algorithms for Connectionist Rule Extraction.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
A Unified Gradient-Descent/Clustering Architecture for Finite State Machine Induction.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Dynamic Conflict Resolution in a Connectionist Rule-Based System.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Learning to Segment Images Using Dynamic Feature Binding.
Neural Comput., 1992

Directional-Unit Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

A Connectionist Symbol Manipulator that Discovers the Structure of Context-Free Languages.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Metamorphosis Networks: An Alternative to Constructive Models.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
SLUG: A Connectionist Architecture for Inferring the Structure of Finite-State Environments.
Mach. Learn., 1991

Neural network music composition and the induction of multiscale temporal structure.
Proceedings of the Verteilte Künstliche Intelligenz und kooperatives Arbeiten, 1991

Learning to Segment Images Using Dynamic Feature Binding.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Induction of Multiscale Temporal Structure.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Rule Induction through Integrated Symbolic and Subsymbolic Processing.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Perception of multiple objects - a connectionist approach.
Neural network modeling and connectionism, MIT Press, ISBN: 978-0-262-13270-1, 1991

1990
Discovering the Structure of a Reactive Environment by Exploration.
Neural Comput., 1990

Connectionist Music Composition Based on Melodic and Stylistic Constraints.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Discovering Discrete Distributed Representations.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
A Focused Backpropagation Algorithm for Temporal Pattern Recognition.
Complex Syst., 1989

TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988


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