MAGNA: Maximizing Accuracy in Global Network Alignment. - Vikram Saraph; Tijana Milenkovic (Bioinform., 2014)

The Relative Power of Composite Loop Agreement Tasks. - Vikram Saraph; Maurice Herlihy (OPODIS, 2015)

MAGNA++: Maximizing Accuracy in Global Network Alignment via both node and edge conservation. - Vipin Vijayan; Vikram Saraph; Tijana Milenkovic (Bioinform., 2015)

Asynchronous Computability Theorems for t-Resilient Systems. - Vikram Saraph; Maurice Herlihy; Eli Gafni (DISC, 2016)

Linearizable Iterators for Concurrent Data Structures. - Archita Agarwal; Zhiyu Liu; Eli Rosenthal; Vikram Saraph (CoRR, 2017)

Proof-Carrying Smart Contracts. - Thomas D. Dickerson; Paul Gazzillo; Maurice Herlihy; Vikram Saraph; Eric Koskinen (Financial Cryptography Workshops, 2018)

Scott sentences for certain groups. - Julia F. Knight; Vikram Saraph (Arch. Math. Log., 2018)

An algorithmic approach to the asynchronous computability theorem. - Vikram Saraph; Maurice Herlihy; Eli Gafni (J. Appl. Comput. Topol., 2018)

An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts. - Vikram Saraph; Maurice Herlihy (Tokenomics, 2019)

Fault-Tolerant Distributed Computability. - Vikram Saraph (2019)

DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference. - Udit Gupta; Samuel Hsia; Vikram Saraph; Xiaodong Wang 020; Brandon Reagen; Gu-Yeon Wei; Hsien-Hsin S. Lee; David Brooks 001; Carole-Jean Wu (ISCA, 2020)

CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. - Kiwan Maeng; Shivam Bharuka; Isabel Gao; Mark C. Jeffrey; Vikram Saraph; Bor-Yiing Su; Caroline Trippel; Jiyan Yang; Mike Rabbat; Brandon Lucia; Carole-Jean Wu (CoRR, 2020)

Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. - Kiwan Maeng; Shivam Bharuka; Isabel Gao; Mark C. Jeffrey; Vikram Saraph; Bor-Yiing Su; Caroline Trippel; Jiyan Yang; Mike Rabbat; Brandon Lucia; Carole-Jean Wu (MLSys, 2021)

High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts. - Vivian Maloney; Richard F. Obrecht; Vikram Saraph; Prathibha Rama; Kate Tallaksen (CoRR, 2023)