Joshua Engels

According to our database, Joshua Engels authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The Geometry of Concepts: Sparse Autoencoder Feature Structure.

Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark

CoRR, 2024

Decomposing The Dark Matter of Sparse Autoencoders.

Joshua Engels, Logan Riggs, Max Tegmark

CoRR, 2024

Efficient Dictionary Learning with Switch Sparse Autoencoders.

Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schröder de Witt

CoRR, 2024

Not All Language Model Features Are Linear.

Joshua Engels, Isaac Liao, Eric J. Michaud, Wes Gurnee, Max Tegmark

CoRR, 2024

Approximate Nearest Neighbor Search with Window Filters.

Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search.

Shangdi Yu, Joshua Engels, Yihao Huang, Julian Shun

CoRR, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware.

Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Tharun Medini, Anshumali Shrivastava

CoRR, 2023

From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.

Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries.

Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.

Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, Benjamin Meisburger, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain, Tharun Medini, Anshumali Shrivastava

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Practical Near Neighbor Search via Group Testing.

Joshua Engels, Benjamin Coleman, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021