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06/02/2023
Unifying (Machine) Vision via Counterfactual World Modeling
Leading approaches in machine vision employ different architectures for ...
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05/22/2023
Measuring and Modeling Physical Intrinsic Motivation
Humans are interactive agents driven to seek out situations with interes...
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05/22/2023
Developmental Curiosity and Social Interaction in Virtual Agents
Infants explore their complex physical and social environment in an orga...
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07/19/2021
Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion
In this work we explore the limiting dynamics of deep neural networks tr...
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06/15/2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
While machine learning algorithms excel at many challenging visual tasks...
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03/25/2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
We introduce a visually-guided and physics-driven task-and-motion planni...
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12/08/2020
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Predicting the dynamics of neural network parameters during training is ...
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10/22/2020
Identifying Learning Rules From Neural Network Observables
The brain modifies its synaptic strengths during learning in order to be...
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07/09/2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal p...
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06/22/2020
Learning Physical Graph Representations from Visual Scenes
Convolutional Neural Networks (CNNs) have proved exceptional at learning...
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06/09/2020
Pruning neural networks without any data by iteratively conserving synaptic flow
Pruning the parameters of deep neural networks has generated intense int...
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04/28/2020
Visual Grounding of Learned Physical Models
Humans intuitively recognize objects' physical properties and predict th...
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02/28/2020
Two Routes to Scalable Credit Assignment without Weight Symmetry
The neural plausibility of backpropagation has long been disputed, prima...
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09/13/2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Deep convolutional artificial neural networks (ANNs) are the leading cla...
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06/21/2018
Flexible Neural Representation for Physics Prediction
Humans have a remarkable capacity to understand the physical dynamics of...
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06/20/2018
Task-Driven Convolutional Recurrent Models of the Visual System
Feed-forward convolutional neural networks (CNNs) are currently state-of...
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02/21/2018
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation
Infants are experts at playing, with an amazing ability to generate nove...
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02/21/2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Infants are experts at playing, with an amazing ability to generate nove...
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11/20/2017
Modular Continual Learning in a Unified Visual Environment
A core aspect of human intelligence is the ability to learn new tasks qu...
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06/22/2017
A Useful Motif for Flexible Task Learning in an Embodied Two-Dimensional Visual Environment
Animals (especially humans) have an amazing ability to learn new tasks q...
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06/12/2014