James Lucas

Orcid: 0009-0005-4580-7937

According to our database¹, James Lucas authored at least 31 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Hyperparameter Optimization with Checkpointed Model Weights.

[BibT_eX]

[DOI]

Nikhil Mehta

Jonathan Lorraine

Steve Masson

Ramanathan Arunachalam

Zaid Pervaiz Bhat

James Lucas

Arun George Zachariah

CoRR, 2024

Graph Metanetworks for Processing Diverse Neural Architectures.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.

[BibT_eX]

[DOI]

CoRR, 2023

Interactive AI Material Generation and Editing in NVIDIA Omniverse.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Real-Time Live!, 2023

Spacetime Representation Learning.

[BibT_eX]

[DOI]

Marc T. Law

James Lucas

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ATT3D: Amortized Text-to-3D Object Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

The Calibration Generalization Gap.

[BibT_eX]

[DOI]

CoRR, 2022

Causal Scene BERT: Improving object detection by searching for challenging groups of data.

[BibT_eX]

[DOI]

CoRR, 2022

Optimizing Data Collection for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes.

[BibT_eX]

[DOI]

CoRR, 2021

On Monotonic Linear Interpolation of Neural Network Parameters.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Theoretical bounds on estimation error for meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Causal BERT: Improving object detection by searching for challenging groups.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Flexible Few-Shot Learning with Contextual Similarity.

[BibT_eX]

[DOI]

CoRR, 2020

Regularized linear autoencoders recover the principal components, eventually.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Lookahead Optimizer: k steps forward, 1 step back.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sorting Out Lipschitz Function Approximation.

[BibT_eX]

[DOI]

Cem Anil

James Lucas

Roger B. Grosse

Proceedings of the 36th International Conference on Machine Learning, 2019

Understanding Posterior Collapse in Generative Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Aggregated Momentum: Stability Through Passive Damping.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2018

Aggregated Momentum: Stability Through Passive Damping.

[BibT_eX]

[DOI]

James Lucas

Richard S. Zemel

Roger B. Grosse

CoRR, 2018

Adversarial Distillation of Bayesian Neural Network Posteriors.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2008

Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors.

[BibT_eX]

[DOI]

Edoardo Merlone-Borla

Flavio Gili

Proceedings of the Embedded Computer Systems: Architectures, 2008

2007

Measuring of exhaust gas emissions using absorption spectroscopy.

[BibT_eX]

[DOI]

Edoardo Merlone-Borla

P. Faraldi

M. Pidria

Int. J. Intell. Syst. Technol. Appl., 2007

James Lucas

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...