Increased rates of convergence through learning rate adaptation. - Robert A. Jacobs (Neural Networks, 1988)

Learning to Control an Unstable System with Forward Modeling. - Michael I. Jordan; Robert A. Jacobs (NIPS, 1989)

A Competitive Modular Connectionist Architecture. - Robert A. Jacobs; Michael I. Jordan (NIPS, 1990)

Hierarchies of Adaptive Experts. - Michael I. Jordan; Robert A. Jacobs (NIPS, 1991)

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. - Robert A. Jacobs; Michael I. Jordan; Andrew G. Barto (Cogn. Sci., 1991)

Adaptive Mixtures of Local Experts. - Robert A. Jacobs; Michael I. Jordan; Steven J. Nowlan; Geoffrey E. Hinton (Neural Comput., 1991)

Supervised Learning and Divide-and-Conquer: A Statistical Approach. - Michael I. Jordan; Robert A. Jacobs (ICML, 1993)

Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. - Robert A. Jacobs; Michael I. Jordan; Andrew G. Barto (Machine Learning: From Theory to Applications, 1993)

Learning piecewise control strategies in a modular neural network architecture. - Robert A. Jacobs; Michael I. Jordan (IEEE Trans. Syst. Man Cybern., 1993)

Encoding Shape and Spatial Relations: The Role of Receptive Field Size in Coordinating Complementary Representations. - Robert A. Jacobs; Stephen M. Kosslyn (Cogn. Sci., 1994)

Hierarchical Mixtures of Experts and the EM Algorithm. - Michael I. Jordan; Robert A. Jacobs (Neural Comput., 1994)

Methods for combining experts' probability assessments. - Robert A. Jacobs (Neural Comput., 1995)

Bias/Variance Analyses of Mixtures-of-Experts Architectures. - Robert A. Jacobs (Neural Comput., 1997)

A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures. - Robert A. Jacobs; Fengchun Peng; Martin A. Tanner (Neural Networks, 1997)

Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth. - Ione Fine; Robert A. Jacobs (Neural Comput., 1999)

Visual Development and the Acquisition of Binocular Disparity Sensitivities. - Melissa Dominguez; Robert A. Jacobs (ICML, 2001)

Visual Development Aids the Acquisition of Motion Velocity Sensitivities. - Robert A. Jacobs; Melissa Dominguez (NIPS, 2002)

Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. - Robert A. Jacobs; Wenxin Jiang 003; Martin A. Tanner (Neural Comput., 2002)

Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities. - Melissa Dominguez; Robert A. Jacobs (Neural Comput., 2003)

A Developmental Approach Aids Motor Learning. - Volodymyr Ivanchenko; Robert A. Jacobs (Neural Comput., 2003)

Visual Development and the Acquisition of Motion Velocity Sensitivities. - Robert A. Jacobs; Melissa Dominguez (Neural Comput., 2003)

Properties of Synergies Arising from a Theory of Optimal Motor Behavior. - Manu Chhabra; Robert A. Jacobs (Neural Comput., 2006)

The Costs of Ignoring High-Order Correlations in Populations of Model Neurons. - Melchi M. Michel; Robert A. Jacobs (Neural Comput., 2006)

Behavioral Shaping for Geometric Concepts. - Manu Chhabra; Robert A. Jacobs; Daniel Stefankovic (J. Mach. Learn. Res., 2007)

Learning to Combine Motor Primitives Via Greedy Additive Regression. - Manu Chhabra; Robert A. Jacobs (J. Mach. Learn. Res., 2008)

Integrated Approaches to Perceptual Learning. - Robert A. Jacobs (Top. Cogn. Sci., 2010)

Visual Learning in Multisensory Environments. - Robert A. Jacobs; Ladan Shams (Top. Cogn. Sci., 2010)

A Nonparametric Bayesian Model of Visual Short-Term Memory. - Emin Orhan; Robert A. Jacobs (CogSci, 2011)

An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs. - Chris R. Sims; Robert A. Jacobs; David C. Knill (CogSci, 2011)

Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations. - Emin Orhan; Robert A. Jacobs (NIPS, 2011)

Are People Successful at Learning Sequences of Actions on a Perceptual Matching Task? - Reiko Yakushijin; Robert A. Jacobs (Cogn. Sci., 2011)

A Rational Analysis of the Acquisition of Multisensory Representations. - Ilker Yildirim; Robert A. Jacobs (Cogn. Sci., 2012)

Transfer of object shape knowledge across visual and haptic modalities. - Goker Erdogan; Ilker Yildirim; Robert A. Jacobs (CogSci, 2014)

Computer vision enhances mobile eye-tracking to expose expert cognition in natural-scene visual-search tasks. - Tommy P. Keane; Nathan D. Cahill; John A. Tarduno; Robert A. Jacobs; Jeff B. Pelz (Human Vision and Electronic Imaging, 2014)

A Concept Learning Approach to Multisensory Object Perception. - Ifeoma Nwogu; Goker Erdogan; Ilker Yildirim; Robert A. Jacobs (CoRR, 2014)

From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach. - Goker Erdogan; Ilker Yildirim; Robert A. Jacobs (PLoS Comput. Biol., 2015)

A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networks. - Goker Erdogan; Robert A. Jacobs (CogSci, 2016)

Multisensory Part-based Representations of Objects in Human Lateral Occipital Cortex. - Goker Erdogan; Quanjing Chen; Frank Garcea; Bradford Z. Mahon; Robert A. Jacobs (J. Cogn. Neurosci., 2016)

Human Visual Object Similarity Judgments are Viewpoint-Invariant and Part-Based as Revealed via Metric Learning. - Joseph German; Robert A. Jacobs (CogSci, 2019)

Modeling Human Cognitive Flexibility with Extemporaneous Networks. - Joseph German; Robert A. Jacobs (CogSci, 2020)

Rapid runtime learning by curating small datasets of high-quality items obtained from memory. - Joseph German; Guofeng Cui; Chenliang Xu; Robert A. Jacobs (PLoS Comput. Biol., 2023)

Does Stimulus Category Coherence Influence Visual Working Memory? A Rational Analysis. - Ruoyang Hu; Robert A. Jacobs (Cogn. Sci., 2024)

A Neural Network Model of Spatial and Feature-Based Attention. - Ruoyang Hu; Robert A. Jacobs (CoRR, 2025)