Joshua Engels

29 papers A* 7A 2Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Building Production-Ready Probes For Gemini.
CoRR
János Kramár, Joshua Engels, Zheng Wang, Bilal Chughtai, Rohin Shah, Neel Nanda, Arthur Conmy
2025 A* conf
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing.
ICML
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda
2025 J jnl
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing.
CoRR
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda
2025 J jnl
CleANN: Efficient Full Dynamism in Graph-based Approximate Nearest Neighbor Search.
CoRR
Ziyu Zhang, Yuanhao Wei, Joshua Engels, Julian Shun
2025 J jnl
Decomposing The Dark Matter of Sparse Autoencoders.
Trans. Mach. Learn. Res.
Joshua Engels, Logan Riggs Smith, Max Tegmark
2025 J jnl
Dense SAE Latents Are Features, Not Bugs.
CoRR
Xiaoqing Sun, Alessandro Stolfo, Joshua Engels, Ben Wu, Senthooran Rajamanoharan, Mrinmaya Sachan, Max Tegmark
2025 A* conf
Efficient Dictionary Learning with Switch Sparse Autoencoders.
ICLR
Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schröder de Witt
2025 A* conf
Low-Rank Adapting Models for Sparse Autoencoders.
ICML
Matthew Chen, Joshua Engels, Max Tegmark
2025 J jnl
Low-Rank Adapting Models for Sparse Autoencoders.
CoRR
Matthew Chen, Joshua Engels, Max Tegmark
2025 A* conf
Not All Language Model Features Are One-Dimensionally Linear.
ICLR
Joshua Engels, Eric J. Michaud, Isaac Liao, Wes Gurnee, Max Tegmark
2025 — conf
PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search.
ACDA
Shangdi Yu, Joshua Engels, Yihao Huang, Julian Shun
2025 J jnl
Scaling Laws For Scalable Oversight.
CoRR
Joshua Engels, David D. Baek, Subhash Kantamneni, Max Tegmark
2025 J jnl
Simple Mechanistic Explanations for Out-Of-Context Reasoning.
CoRR
Atticus Wang, Joshua Engels, Oliver Clive-Griffin, Senthooran Rajamanoharan, Neel Nanda
2025 J jnl
The Geometry of Concepts: Sparse Autoencoder Feature Structure.
Entropy
Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark
2025 J jnl
The Singapore Consensus on Global AI Safety Research Priorities.
CoRR
Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2024 A* conf
Approximate Nearest Neighbor Search with Window Filters.
ICML
Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun
2024 J jnl
Approximate Nearest Neighbor Search with Window Filters.
CoRR
Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun
2024 J jnl
Decomposing The Dark Matter of Sparse Autoencoders.
CoRR
Joshua Engels, Logan Riggs Smith, Max Tegmark
2024 J jnl
Efficient Dictionary Learning with Switch Sparse Autoencoders.
CoRR
Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schröder de Witt
2024 J jnl
Not All Language Model Features Are Linear.
CoRR
Joshua Engels, Isaac Liao, Eric J. Michaud, Wes Gurnee, Max Tegmark
2024 J jnl
The Geometry of Concepts: Sparse Autoencoder Feature Structure.
CoRR
Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark
2023 J jnl
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware.
CoRR
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
2023 A conf
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.
CIKM
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
2023 A* conf
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries.
NeurIPS
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
2023 A conf
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.
RecSys
Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain
2023 J jnl
PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search.
CoRR
Shangdi Yu, Joshua Engels, Yihao Huang, Julian Shun
2022 J jnl
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries.
CoRR
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
2021 A* conf
Practical Near Neighbor Search via Group Testing.
NeurIPS
Joshua Engels, Benjamin Coleman, Anshumali Shrivastava
2021 J jnl
Practical Near Neighbor Search via Group Testing.
CoRR
Joshua Engels, Benjamin Coleman, Anshumali Shrivastava