Fei Deng

Orcid: 0000-0003-0690-1718

Affiliations:
  • Google, Mountain View, CA, USA
  • Rutgers University, New Brunswick, NJ, USA


According to our database1, Fei Deng authored at least 19 papers between 2018 and 2024.

Collaborative distances:

Timeline

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2023
2024
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Bibliography

2024
Slot State Space Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Simple Hierarchical Planning with Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies.
CoRR, 2023

Object-Centric Slot Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Facing Off World Model Backbones: RNNs, Transformers, and S4.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BlazeStyleGAN: A Real-Time On-Device StyleGAN.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations.
Proceedings of the International Conference on Machine Learning, 2022

Illiterate DALL-E Learns to Compose.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
ROOTS: Object-Centric Representation and Rendering of 3D Scenes.
J. Mach. Learn. Res., 2021

Generative Scene Graph Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.
IEEE Trans. Cybern., 2020

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.
IEEE Trans. Cybern., 2019

2018
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor.
IEEE Trans. Instrum. Meas., 2018

Abstraction Learning.
CoRR, 2018


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