Posts
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Qualifying exam written responses
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Demo: The unscented particle filter
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The unscented particle filter
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Evaluation of real-time physics simulation systems
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Physically based deformable models in computer graphics
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Particle-based fluid simulation for interactive applications
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Simulation of clothing with folds and wrinkles
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Nonconvex rigid bodies with stacking
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Stable real-time deformations
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Stable fluids
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Rational use of cognitive resources: levels of analysis between the computational and the algorithmic
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Selecting computations: theory and applications
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Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition
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Unfalsifiability and mutual translatability of major modeling schemes in choice reaction time
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Optimal predictions in everyday cognition: the wisdom of individuals or crowds?
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Judgment under uncertainty: heuristics and biases
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On the psychology of prediction
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Theory learning as a stochastic search in a language of thought
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A probabilistic model of theory formation
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Theory-based causal induction
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Learning overhypotheses with hierarchical Bayesian models
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Thought experiments
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The role of imagistic simulation in scientific thought experiments
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"What if...": The use of conceptual simulations in scientific reasoning
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Galileo and the indispensability of scientific thought experiment
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Against simulation: the argument from error
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Why the child's theory of mind really is a theory
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In defense of the simulation theory
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Folk psychology: simulation or tacit theory?
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The simulation theory: objections and misconceptions
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Representational momentum and related displacements in spatial memory: a review of the findings
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Representational momentum
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Visual perception and interception of falling objects: a review of evidence for an internal model of gravity
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Physical imagery: kinematic versus dynamic models
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Representing statics as forces in equilibrium
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The experience of force: the role of haptic experience of forces in visual perception of object motion and interactions, mental simulation, and motion-related judgments
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Prediction precedes control in motor learning
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Internal models for motor control and trajectory planning
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Temporal and kinematic properties of motor behavior reflected in mentally simulated action
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Kinematic mental simulations in abduction and deduction
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Inference with mental models
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Qualitative modeling
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Qualitative simulation
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Embodied language: a review of the role of the motor system in language comprehension
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Spatial and linguistic aspects of visual imagery in sentence comprehension
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Fictive motion as cognitive simulation
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On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes
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Whatever next? Predictive brains, situated agents, and the future of cognitive science
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The role of generative knowledge in object perception
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The Helmholtz machine
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Learning compound multi-step controllers under unknown dynamics
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Learning contact-rich manipulation skills with guided policy search
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The simulation heuristic
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The future of memory: remembering, imagining, and the brain
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Are things that are hard to physically move also hard to imagine moving?
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The emulation theory of representation: motor control, imagery, and perception
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Explorations of a creative visual synthesis in mental imagery
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Aspects of a cognitive neuroscience of mental imagery
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Eye fixations and cognitive processes
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Mental rotation of three-dimensional objects
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Robust Adaptive Markov Decision Processes
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Model-free probabilistic movement primitives for physical interaction
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Stabilizing novel objects by learning to predict tactile slip
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Learning force-based manipulations of deformable objects from multiple demonstrations
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Learning from demonstrations through the use of non-rigid registration
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Model-based Bayesian reinforcement learning in large structured domains
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The scope and limits of simulation in automated reasoning
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Model-based reinforcement learning with parametrized physical models and optimism-driven exploration
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Physics-based trajectory optimization for grasping in cluttered environments
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Detecting potential falling objects by inferring human action and natural disturbance
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Tracking deformable objects with point clouds
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Model learning for robot control: a survey
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Robust physics-based locomotion using low-dimensional planning
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Seeing physics, or: physics is for prediction
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Mental models
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Human-level control through deep reinforcement learning
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Demo: Bayes-Adaptive Monte-Carlo Tree Search
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Scalable and efficient Bayes-adaptive reinforcement learning based on Monte-Carlo tree search
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Model based Bayesian exploration
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A survey of Monte Carlo Tree Search methods
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Concerning the perceptions in general
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Hypothesis on the nature of thought
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Speech recognition: a model and a program for research
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Analysis by synthesis: A (re-)emerging program of research for language and vision
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Vision as Bayesian inference: analysis by synthesis?
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Humans integrate visual and haptic information in a statistically optimal fashion
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Bayesian integration in sensorimotor learning
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Demo: Motion illusions as optimal percepts
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Motion illusions as optimal percepts
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Pure reasoning in 12-month-old infants as probabilistic inference
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How to grow a mind: statistics, structure, and abstraction
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Bayesian learning theory applied to human cognition
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The discovery of structural form
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Probabilistic models of cognition: exploring representations and inductive biases
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Optimal predictions in everyday cognition
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Generalization, similarity, and Bayesian inference
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Ten years of the rational analysis of cognition
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The philosophy and the approach
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Introduction to "The Adaptive Character of Thought"
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