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09/15/2023
Compositional Foundation Models for Hierarchical Planning
To make effective decisions in novel environments with long-horizon goal...
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07/24/2023
3D-LLM: Injecting the 3D World into Large Language Models
Large language models (LLMs) and Vision-Language Models (VLMs) have been...
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07/05/2023
Building Cooperative Embodied Agents Modularly with Large Language Models
Large Language Models (LLMs) have demonstrated impressive planning abili...
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06/08/2023
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models
Text-to-image generative models have enabled high-resolution image synth...
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06/02/2023
Probabilistic Adaptation of Text-to-Video Models
Large text-to-video models trained on internet-scale data have demonstra...
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05/31/2023
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
Reconstruction of 3D neural fields from posed images has emerged as a pr...
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05/23/2023
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Large language models (LLMs) have demonstrated remarkable capabilities i...
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05/22/2023
Training Diffusion Models with Reinforcement Learning
Diffusion models are a class of flexible generative models trained with ...
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04/17/2023
Learning to Render Novel Views from Wide-Baseline Stereo Pairs
We introduce a method for novel view synthesis given only a single wide-...
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03/28/2023
Planning with Sequence Models through Iterative Energy Minimization
Recent works have shown that sequence modeling can be effectively used t...
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03/20/2023
3D Concept Learning and Reasoning from Multi-View Images
Humans are able to accurately reason in 3D by gathering multi-view obser...
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03/13/2023
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects
We present NeuSE, a novel Neural SE(3)-Equivariant Embedding for objects...
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03/07/2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities
Foundation models pretrained on diverse data at scale have demonstrated ...
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02/22/2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
Since their introduction, diffusion models have quickly become the preva...
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02/07/2023
Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation
A robot operating in a household environment will see a wide range of un...
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01/31/2023
Learning Universal Policies via Text-Guided Video Generation
A goal of artificial intelligence is to construct an agent that can solv...
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12/12/2022
MIRA: Mental Imagery for Robotic Affordances
Humans form mental images of 3D scenes to support counterfactual imagina...
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12/06/2022
Visibility-Aware Navigation Among Movable Obstacles
In this paper, we examine the problem of visibility-aware robot navigati...
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11/28/2022
Is Conditional Generative Modeling all you need for Decision-Making?
Recent improvements in conditional generative modeling have made it poss...
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11/17/2022
SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields
We present a method for performing tasks involving spatial relations bet...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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10/20/2022
Composing Ensembles of Pre-trained Models via Iterative Consensus
Large pre-trained models exhibit distinct and complementary capabilities...
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08/01/2022
Robust Change Detection Based on Neural Descriptor Fields
The ability to reason about changes in the environment is crucial for ro...
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07/22/2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Human perception reliably identifies movable and immovable parts of 3D s...
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07/13/2022
3D Concept Grounding on Neural Fields
In this paper, we address the challenging problem of 3D concept groundin...
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06/30/2022
Learning Iterative Reasoning through Energy Minimization
Deep learning has excelled on complex pattern recognition tasks such as ...
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06/03/2022
Compositional Visual Generation with Composable Diffusion Models
Large text-guided diffusion models, such as DALLE-2, are able to generat...
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05/20/2022
Planning with Diffusion for Flexible Behavior Synthesis
Model-based reinforcement learning methods often use learning only for t...
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05/02/2022
Streaming Inference for Infinite Non-Stationary Clustering
Learning from a continuous stream of non-stationary data in an unsupervi...
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04/04/2022
Learning Neural Acoustic Fields
Our environment is filled with rich and dynamic acoustic information. Wh...
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02/03/2022
Pre-Trained Language Models for Interactive Decision-Making
Language model (LM) pre-training has proven useful for a wide variety of...
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12/09/2021
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
We present Neural Descriptor Fields (NDFs), an object representation tha...
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11/17/2021
Learning to Compose Visual Relations
The visual world around us can be described as a structured set of objec...
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11/11/2021
Learning Signal-Agnostic Manifolds of Neural Fields
Deep neural networks have been used widely to learn the latent structure...
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11/04/2021
Unsupervised Learning of Compositional Energy Concepts
Humans are able to rapidly understand scenes by utilizing concepts extra...
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10/14/2021
The Neural MMO Platform for Massively Multiagent Research
Neural MMO is a computationally accessible research platform that combin...
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10/07/2021
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions
We introduce the task of weakly supervised learning for detecting human ...
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05/03/2021
Curious Representation Learning for Embodied Intelligence
Self-supervised representation learning has achieved remarkable success ...
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04/08/2021
3D Shape Generation and Completion through Point-Voxel Diffusion
We propose a novel approach for probabilistic generative modeling of 3D ...
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12/17/2020
Neural Radiance Flow for 4D View Synthesis and Video Processing
We present a method, Neural Radiance Flow (NeRFlow),to learn a 4D spatia...
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12/02/2020
Improved Contrastive Divergence Training of Energy Based Models
We propose several different techniques to improve contrastive divergenc...
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11/24/2020
Energy-Based Models for Continual Learning
We motivate Energy-Based Models (EBMs) as a promising model class for co...
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11/16/2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
We present a framework for solving long-horizon planning problems involv...
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11/06/2020
Learning Online Data Association
When an agent interacts with a complex environment, it receives a stream...
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07/24/2020
Unsupervised Discovery of 3D Physical Objects from Video
We study the problem of unsupervised physical object discovery. Unlike e...
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04/27/2020
Energy-based models for atomic-resolution protein conformations
We propose an energy-based model (EBM) of protein conformations that ope...
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04/13/2020
Compositional Visual Generation and Inference with Energy Based Models
A vital aspect of human intelligence is the ability to compose increasin...
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01/31/2020
Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
Progress in multiagent intelligence research is fundamentally limited by...
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12/06/2019
Observational Overfitting in Reinforcement Learning
A major component of overfitting in model-free reinforcement learning (R...
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09/15/2019
