CleanANN: Efficient and Robust Full Dynamism in Graph-based Approximate Nearest Neighbor Search.

Joshua Engels Ziyu Zhang 0002 Yuanhao Wei Joshua Engels Julian Shun CleanANN: Efficient and Robust Full Dynamism in Graph-based Approximate Nearest Neighbor Search. 247-260 2026 SPAA https://doi.org/10.1145/3816782.3819219 conf/spaa/2026 db/conf/spaa/spaa2026.html#ZhangWES26

János Kramár Joshua Engels Zheng Wang Bilal Chughtai Rohin Shah Neel Nanda Arthur Conmy Building Production-Ready Probes For Gemini. 2026 January abs/2601.11516 CoRR https://doi.org/10.48550/arXiv.2601.11516 db/journals/corr/corr2601.html#abs-2601-11516 streams/journals/corr

Reilly Haskins Bilal Chughtai Joshua Engels Training on Documents About Monitoring Leads to CoT Obfuscation. 2026 May abs/2605.15257 CoRR https://doi.org/10.48550/arXiv.2605.15257 db/journals/corr/corr2605.html#abs-2605-15257 streams/journals/corr

Joshua Engels Callum McDougall Bilal Chughtai János Kramár Senthooran Rajamanoharan Cindy Wu Arthur Conmy Asic Q. Chen Jean Tarbouriech Min Ma Brendan O'Donoghue João Gabriel Lopes de Oliveira Rohin Shah Neel Nanda How Transparent is DiffusionGemma? 2026 June abs/2606.20560 CoRR https://doi.org/10.48550/arXiv.2606.20560 db/journals/corr/corr2606.html#abs-2606-20560 streams/journals/corr

Yuxiao Li 0001 Eric J. Michaud David D. Baek Joshua Engels Xiaoqing Sun Max Tegmark The Geometry of Concepts: Sparse Autoencoder Feature Structure. 344 2025 27 Entropy 4 https://doi.org/10.3390/e27040344 db/journals/entropy/entropy27.html#LiMBEST25 streams/journals/entropy

Joshua Engels Logan Riggs Smith Max Tegmark Decomposing The Dark Matter of Sparse Autoencoders. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=sXq3Wb3vef db/journals/tmlr/tmlr2025.html#EngelsST25

Shangdi Yu Joshua Engels Yihao Huang 0004 Julian Shun PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search. 1-17 2025 ACDA https://doi.org/10.1137/1.9781611978759.1 conf/acda/2025 db/conf/acda/acda2025.html#YuE0S25 Joshua Engels Eric J. Michaud Isaac Liao Wes Gurnee Max Tegmark Not All Language Model Features Are One-Dimensionally Linear. 2025 ICLR https://openreview.net/forum?id=d63a4AM4hb conf/iclr/2025 db/conf/iclr/iclr2025.html#EngelsMLGT25 Anish Mudide Joshua Engels Eric J. Michaud Max Tegmark Christian Schröder de Witt Efficient Dictionary Learning with Switch Sparse Autoencoders. 2025 ICLR https://openreview.net/forum?id=k2ZVAzVeMP conf/iclr/2025 db/conf/iclr/iclr2025.html#MudideEMTW25 Matthew Chen Joshua Engels Max Tegmark Low-Rank Adapting Models for Sparse Autoencoders. 2025 ICML https://proceedings.mlr.press/v267/chen25r.html https://openreview.net/forum?id=lDPtsCYTwr conf/icml/2025 db/conf/icml/icml2025.html#ChenET25 Subhash Kantamneni Joshua Engels Senthooran Rajamanoharan Max Tegmark Neel Nanda Are Sparse Autoencoders Useful? A Case Study in Sparse Probing. 2025 ICML https://proceedings.mlr.press/v267/kantamneni25a.html https://openreview.net/forum?id=rNfzT8YkgO conf/icml/2025 db/conf/icml/icml2025.html#KantamneniERTN25 Joshua Engels David D. Baek Subhash Kantamneni Max Tegmark Scaling Laws For Scalable Oversight. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/8c3caae2f725c8e2a55ecd600563d172-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#EngelsBKT25 Xiaoqing Sun Alessandro Stolfo Joshua Engels Ben Wu 0001 Senthooran Rajamanoharan Mrinmaya Sachan Max Tegmark Dense SAE Latents Are Features, Not Bugs. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/cd091a4d8e97157d32940428f902c7b0-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#SunSEWRST25

Matthew Chen Joshua Engels Max Tegmark Low-Rank Adapting Models for Sparse Autoencoders. 2025 January abs/2501.19406 CoRR https://doi.org/10.48550/arXiv.2501.19406 db/journals/corr/corr2501.html#abs-2501-19406 streams/journals/corr

Subhash Kantamneni Joshua Engels Senthooran Rajamanoharan Max Tegmark Neel Nanda Are Sparse Autoencoders Useful? A Case Study in Sparse Probing. 2025 February abs/2502.16681 CoRR https://doi.org/10.48550/arXiv.2502.16681 db/journals/corr/corr2502.html#abs-2502-16681 streams/journals/corr

Joshua Engels David D. Baek Subhash Kantamneni Max Tegmark Scaling Laws For Scalable Oversight. 2025 April abs/2504.18530 CoRR https://doi.org/10.48550/arXiv.2504.18530 db/journals/corr/corr2504.html#abs-2504-18530 streams/journals/corr

Xiaoqing Sun Alessandro Stolfo Joshua Engels Ben Wu 0001 Senthooran Rajamanoharan Mrinmaya Sachan Max Tegmark Dense SAE Latents Are Features, Not Bugs. 2025 June abs/2506.15679 CoRR https://doi.org/10.48550/arXiv.2506.15679 db/journals/corr/corr2506.html#abs-2506-15679 streams/journals/corr

Yoshua Bengio Tegan Maharaj Luke Ong Stuart Russell 0001 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 0001 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 0005 HongJiang Zhang Djordje Zikelic The Singapore Consensus on Global AI Safety Research Priorities. 2025 June abs/2506.20702 CoRR https://doi.org/10.48550/arXiv.2506.20702 db/journals/corr/corr2506.html#abs-2506-20702 streams/journals/corr

Atticus Wang Joshua Engels Oliver Clive-Griffin Senthooran Rajamanoharan Neel Nanda Simple Mechanistic Explanations for Out-Of-Context Reasoning. 2025 July abs/2507.08218 CoRR https://doi.org/10.48550/arXiv.2507.08218 db/journals/corr/corr2507.html#abs-2507-08218 streams/journals/corr

Ziyu Zhang Yuanhao Wei Joshua Engels Julian Shun CleANN: Efficient Full Dynamism in Graph-based Approximate Nearest Neighbor Search. 2025 July abs/2507.19802 CoRR https://doi.org/10.48550/arXiv.2507.19802 db/journals/corr/corr2507.html#abs-2507-19802 streams/journals/corr

Joshua Engels Benjamin Landrum Shangdi Yu Laxman Dhulipala Julian Shun Approximate Nearest Neighbor Search with Window Filters. 2024 ICML https://proceedings.mlr.press/v235/engels24a.html https://openreview.net/forum?id=8t8zBaGFar conf/icml/2024 db/conf/icml/icml2024.html#EngelsLYDS24 12469-12490

Joshua Engels Benjamin Landrum Shangdi Yu Laxman Dhulipala Julian Shun Approximate Nearest Neighbor Search with Window Filters. 2024 abs/2402.00943 CoRR https://doi.org/10.48550/arXiv.2402.00943 db/journals/corr/corr2402.html#abs-2402-00943

Joshua Engels Isaac Liao Eric J. Michaud Wes Gurnee Max Tegmark Not All Language Model Features Are Linear. 2024 abs/2405.14860 CoRR https://doi.org/10.48550/arXiv.2405.14860 db/journals/corr/corr2405.html#abs-2405-14860

Anish Mudide Joshua Engels Eric J. Michaud Max Tegmark Christian Schröder de Witt Efficient Dictionary Learning with Switch Sparse Autoencoders. 2024 abs/2410.08201 CoRR https://doi.org/10.48550/arXiv.2410.08201 db/journals/corr/corr2410.html#abs-2410-08201 streams/journals/corr

Joshua Engels Logan Riggs Smith Max Tegmark Decomposing The Dark Matter of Sparse Autoencoders. 2024 abs/2410.14670 CoRR https://doi.org/10.48550/arXiv.2410.14670 db/journals/corr/corr2410.html#abs-2410-14670 streams/journals/corr

Yuxiao Li 0001 Eric J. Michaud David D. Baek Joshua Engels Xiaoqing Sun Max Tegmark The Geometry of Concepts: Sparse Autoencoder Feature Structure. 2024 abs/2410.19750 CoRR https://doi.org/10.48550/arXiv.2410.19750 https://www.wikidata.org/entity/Q130767277 db/journals/corr/corr2410.html#abs-2410-19750 streams/journals/corr

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 BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware. 4738-4744 2023 CIKM https://doi.org/10.1145/3583780.3615458 https://www.wikidata.org/entity/Q130935277 conf/cikm/2023 db/conf/cikm/cikm2023.html#MeisburgerLGERP23 Joshua Engels Benjamin Coleman Vihan Lakshman Anshumali Shrivastava DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/d6cc45de2e2dea14b96c1eba88fd8ef7-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#EngelsCLS23 Anshumali Shrivastava Vihan Lakshman Tharun Medini Nicholas Meisburger Joshua Engels David Torres Ramos Benito Geordie Pratik Pranav Shubh Gupta Yashwanth Adunukota Siddharth Jain From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware. 1071-1074 2023 RecSys https://doi.org/10.1145/3604915.3610249 https://www.wikidata.org/entity/Q130940449 conf/recsys/2023 db/conf/recsys/recsys2023.html#ShrivastavaLMME23

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 BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware. 2023 abs/2303.17727 CoRR https://doi.org/10.48550/arXiv.2303.17727 db/journals/corr/corr2303.html#abs-2303-17727

Shangdi Yu Joshua Engels Yihao Huang 0004 Julian Shun PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search. 2023 abs/2312.03940 CoRR https://doi.org/10.48550/arXiv.2312.03940 db/journals/corr/corr2312.html#abs-2312-03940

Joshua Engels Benjamin Coleman Vihan Lakshman Anshumali Shrivastava DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries. 2022 abs/2210.15748 CoRR https://doi.org/10.48550/arXiv.2210.15748 db/journals/corr/corr2210.html#abs-2210-15748

Joshua Engels Benjamin Coleman Anshumali Shrivastava Practical Near Neighbor Search via Group Testing. 9950-9962 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/5248e5118c84beea359b6ea385393661-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#EngelsCS21

Joshua Engels Benjamin Coleman Anshumali Shrivastava Practical Near Neighbor Search via Group Testing. 2021 abs/2106.11565 CoRR https://arxiv.org/abs/2106.11565 db/journals/corr/corr2106.html#abs-2106-11565

Yashwanth Adunukota David D. Baek Vidhisha Balachandran Fazl Barez Michael Belinsky Imane Bello Yoshua Bengio Malo Bourgon Mark Brakel Siméon Campos Stephen Casper Duncan Cass-Beggs Asic Q. Chen Jiahao Chen Matthew Chen Rumman Chowdhury Bilal Chughtai Oliver Clive-Griffin Jeff Clune Benjamin Coleman Arthur Conmy Juntao Dai Agnès Delaborde Laxman Dhulipala Nouha Dziri Francisco Girbal EirasFrancisco Eiras Jinyu Fan Benito Geordie Adam Gleave Noah Goodman Shubh Gupta Wes Gurnee Anthony Tung K. H. Reilly Haskins Fynn Heide Johannes Heidecke Seán Ó hÉigeartaigh Dan Hendrycks Cyrus Hodes Bryan Low Kian Hsiang Minlie Huang Yihao Huang 0004 Siddharth Jain Sami Jawhar Wang Jingyu Adam Tauman Kalai Meindert Kamphuis Mohan KankanhalliMohan S. Kankanhalli Subhash Kantamneni Mathias Bonde Kirk János Kramár Thomas Kwa Jeffrey Ladish Vihan Lakshman Kwok-Yan Lam Benjamin Landrum Taewhi Lee Wan Sie Lee Xiaojian Li Yuxiao Li 0001 Isaac Liao Jiajun Liu Chaochao Lu Min Ma Tegan Maharaj Yifan Mai 0001 Richard Mallah Callum McDougall Tharun Medini Benjamin Meisburger Nicholas Meisburger Julian Michael Eric J. Michaud Sören Mindermann Nick Moës Simon Möller Anish Mudide Ki-Hyuk NamKihyuk Nam Neel Nanda Kwan Yee Ng Mark Nitzberg Besmira Nushi Brendan O'Donoghue João Gabriel Lopes de Oliveira C.-H. Luke OngLuke Ong Alejandro Ortega Pierre Peigné James Petrie Pratik Pranav Benjamin Prud'homme Reihaneh Rabbany Senthooran Rajamanoharan David Torres Ramos Stuart Russell 0001 Mrinmaya Sachan Nayat Sánchez-Pi Sarah Schwettmann Kuan Chua Seah Rohin Shah Buck Shlegeris Anshumali Shrivastava Julian Shun Saad Siddiqui Wan Lee Sie Aradhana Sinha Logan Riggs Smith Dawn Song Martín Soto Alessandro Stolfo Xiaoqing Sun Cheston Tan Jean Tarbouriech Max Tegmark Dong Ting William-Chandra Tjhi Robert Trager Brian Tse Atticus Wang Zheng Wang Yuanhao Wei Vanessa Wilfred John Willes Christian Schröder de Witt Denise Wong Ben Wu 0001 Cindy Wu Rongwu Xu Wei Xu Lan Xue Shangdi Yu Yi Zeng 0005 HongJiang Zhang Ya-Qin Zhang Ziyu Zhang Ziyu Zhang 0002 Dorde ZikelicDjordje Zikelic