Vihan Lakshman

20 papers A* 4A 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoCSF: Provably Space-Efficient Indexing of Skewed Key-Value Workloads via Filter-Augmented Compressed Static Functions.
CoRR
David Torres Ramos, Vihan Lakshman, Chen Luo, Todd J. Treangen, Benjamin Coleman
2026 — conf
Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs".
ECIR (3)
Blaise Munyampirwa, Vihan Lakshman, Benjamin Coleman
2025 J jnl
Breaking the Curse of Dimensionality: On the Stability of Modern Vector Retrieval.
CoRR
Vihan Lakshman, Blaise Munyampirwa, Julian Shun, Benjamin Coleman
2024 J jnl
Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs".
CoRR
Blaise Munyampirwa, Vihan Lakshman, Benjamin Coleman
2024 A* conf
On the Diminishing Returns of Width for Continual Learning.
ICML
Etash Kumar Guha, Vihan Lakshman
2024 J jnl
On the Diminishing Returns of Width for Continual Learning.
CoRR
Etash Kumar Guha, Vihan Lakshman
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 J jnl
CAPS: A Practical Partition Index for Filtered Similarity Search.
CoRR
Gaurav Gupta, Jonah Yi, Benjamin Coleman, Chen Luo, Vihan Lakshman, Anshumali Shrivastava
2023 J jnl
CARAMEL: A Succinct Read-Only Lookup Table via Compressed Static Functions.
CoRR
Benjamin Coleman, David Torres Ramos, Vihan Lakshman, Chen Luo, 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
2022 J jnl
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries.
CoRR
Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
2022 A* conf
Massive Text Normalization via an Efficient Randomized Algorithm.
WWW
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2022 — conf
ROSE: Robust Caches for Amazon Product Search.
WWW (Companion Volume)
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin
2021 J jnl
A Fast Randomized Algorithm for Massive Text Normalization.
CoRR
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2021 J jnl
Embracing Structure in Data for Billion-Scale Semantic Product Search.
CoRR
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, S. V. N. Vishwanathan
2021 J jnl
Low-Precision Quantization for Efficient Nearest Neighbor Search.
CoRR
Anthony Ko, Iman Keivanloo, Vihan Lakshman, Eric Schkufza
2019 A* conf
Semantic Product Search.
KDD
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
2019 J jnl
Semantic Product Search.
CoRR
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin