Saurabh Jha

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All published works
Action Title Year Authors
+ PDF Chat Hierarchical Autoscaling for Large Language Model Serving with Chiron 2025 Archit Patke
Dhemath Reddy
Saurabh Jha
Chandra Narayanaswami
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ PDF Chat One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving 2024 Archit Patke
Dhemath Reddy
Saurabh Jha
Haoran Qiu
Christian Pinto
Shengkun Cui
Chandra Narayanaswami
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ PDF Chat Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction 2024 Haoran Qiu
Weichao Mao
Archit Patke
Shengkun Cui
Saurabh Jha
Chen Wang
Hubertus Franke
Zbigniew Kalbarczyk
Tamer Başar
Ravishankar K. Iyer
+ Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. 2021 Saurabh Jha
Yan Miao
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ PDF Chat BayesPerf: minimizing performance monitoring errors using Bayesian statistics 2021 Subho S. Banerjee
Saurabh Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ Application-aware Congestion Mitigation forHigh-Performance Computing Systems. 2020 Archit Patke
Saurabh Jha
Haoran Qiu
Jim Brandt
Ann C. Gentile
Joe Greenseid
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ FIRM: An intelligent fine-grained resource management framework for SLO-oriented microservices 2020 Haoran Qiu
Subho S. Banerjee
Saurabh Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ PDF Chat ML-Driven Malware that Targets AV Safety 2020 Saurabh Jha
Shengkun Cui
Subho S. Banerjee
Cyriac James
Timothy Tsai
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ ML-driven Malware that Targets AV Safety 2020 Saurabh Jha
Shengkun Cui
Subho S. Banerjee
Timothy Tsai
Zbigniew Kalbarczyk
R.K. Iyer
+ FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices 2020 Haoran Qiu
Subho S. Banerjee
Saurabh Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ Application-aware Congestion Mitigation for High-Performance Computing Systems 2020 Archit Patke
Saurabh Jha
Haoran Qiu
Jim Brandt
Ann Gentile
Joe Greenseid
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ A Study of Network Congestion in Two Supercomputing High-Speed Interconnects 2019 Saurabh Jha
Archit Patke
Jim Brandt
Ann Gentile
Mike Showerman
Eric Roman
Zbigniew Kalbarczyk
Bill Kramer
Ravishankar K. Iyer
+ A Study of Network Congestion in Two Supercomputing High-Speed Interconnects 2019 Saurabh Jha
Archit Patke
Jim Brandt
Ann Gentile
Mike Showerman
Eric Roman
Zbigniew Kalbarczyk
William Kramer
Ravishankar K. Iyer
+ Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo 2019 Valerio Formicola
Saurabh Jha
Daniel Chen
Fei Deng
Amanda Bonnie
Mike Mason
Jim Brandt
Ann Gentile
Larry Kaplan
Jason Repik
+ ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection 2019 Saurabh Jha
Subho S. Banerjee
Timothy Tsai
Siva Kumar Sastry Hari
Michael B. Sullivan
Zbigniew Kalbarczyk
Stephen W. Keckler
Ravishankar K. Iyer
+ PDF Chat ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection 2019 Saurabh Jha
Subho S. Banerjee
Timothy Tsai
Siva Kumar Sastry Hari
Michael B. Sullivan
Zbigniew Kalbarczyk
Stephen W. Keckler
Ravishankar K. Iyer
+ Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors 2019 Saurabh Jha
Timothy Tsai
Siva Kumar Sastry Hari
Michael B. Sullivan
Zbigniew Kalbarczyk
Stephen W. Keckler
Ravishankar K. Iyer
+ Live Forensics for Distributed Storage Systems 2019 Saurabh Jha
Shengkun Cui
Tianyin Xu
Jeremy Enos
Mike Showerman
Mark W. Dalton
Zbigniew Kalbarczyk
William Kramer
Ravishankar K. Iyer
+ A Study of Network Congestion in Two Supercomputing High-Speed Interconnects 2019 Saurabh Jha
Archit Patke
Brandt Jim
Gentile Ann
Mike Showerman
Roman Eric
T Kalbarczyk Zbigniew
Bill Kramer
K Iyer Ravishankar
+ PDF Chat AVFI: Fault Injection for Autonomous Vehicles 2018 Saurabh Jha
Subho S. Banerjee
Cyriac James
Zbigniew Kalbarczyk
Ravishankar K. Iyer
+ A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem. 2013 Vijay Menon
Saurabh Jha
+ Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs 2013 Saurabh Jha
Tejaswi Agarwal
B. Rajesh Kanna
+ PDF Chat Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs 2013 Saurabh Jha
Tejaswi Agarwal
B. Rajesh Kanna
+ P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising 2013 Tejaswi Agarwal
Saurabh Jha
B. Rajesh Kanna
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat AVFI: Fault Injection for Autonomous Vehicles 2018 Saurabh Jha
Subho S. Banerjee
Cyriac James
Zbigniew Kalbarczyk
Ravishankar K. Iyer
5
+ PDF Chat DeepXplore 2017 Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
4
+ Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors 2019 Saurabh Jha
Timothy Tsai
Siva Kumar Sastry Hari
Michael B. Sullivan
Zbigniew Kalbarczyk
Stephen W. Keckler
Ravishankar K. Iyer
4
+ NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles 2017 Jiajun Lu
Hussein Sibai
Evan Fabry
David Forsyth
4
+ PDF Chat On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation 2018 Behzad Salami
Osman Ünsal
Adrián Cristal Kestelman
3
+ PDF Chat Experimental Resilience Assessment of an Open-Source Driving Agent 2018 Abu Hasnat Mohammad Rubaiyat
Yongming Qin
Homa Alemzadeh
3
+ Multiple Object Tracking: A Review. 2014 Wenhan Luo
Xiaowei Zhao
Tae‐Kyun Kim
2
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
2
+ PDF Chat Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration 2017 Himabindu Lakkaraju
Ece Kamar
Rich Caruana
Eric Horvitz
2
+ PDF Chat DryVR: Data-Driven Verification and Compositional Reasoning for Automotive Systems 2017 Chuchu Fan
Bolun Qi
Sayan Mitra
Mahesh Viswanathan
2
+ Robust Physical-World Attacks on Deep Learning Models 2017 Ivan Evtimov
Kevin Eykholt
Earlence Fernandes
Tadayoshi Kohno
Bo Li
Atul Prakash
Amir Rahmati
Dawn Song
2
+ Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems 2017 Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
2
+ Adversarial Examples that Fool Detectors 2017 Jiajun Lu
Hussein Sibai
Evan Fabry
2
+ Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution 2018 Judea Pearl
2
+ YOLOv3: An Incremental Improvement. 2018 Joseph Redmon
Ali Farhadi
2
+ Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking 2019 Yunhan Jia
Yantao Lu
Junjie Shen
Qi Alfred Chen
Zhenyu Zhong
Tao Wei
2
+ Adversarial Objects Against LiDAR-Based Autonomous Driving Systems 2019 Yulong Cao
Chaowei Xiao
Dawei Yang
Jing Fang
Ruigang Yang
Mingyan Liu
Bo Li
2
+ PDF Chat End-to-End Driving Via Conditional Imitation Learning 2018 Felipe Codevilla
Matthias Müller
Antonio M. López
Vladlen Koltun
Alexey Dosovitskiy
2
+ PDF Chat You Only Look Once: Unified, Real-Time Object Detection 2016 Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
2
+ PDF Chat ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection 2019 Saurabh Jha
Subho S. Banerjee
Timothy Tsai
Siva Kumar Sastry Hari
Michael B. Sullivan
Zbigniew Kalbarczyk
Stephen W. Keckler
Ravishankar K. Iyer
2
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
Germán Ros
Felipe Codevilla
Antonio M. López
Vladlen Koltun
2
+ TensorFlow Distributions 2017 Joshua V. Dillon
Ian Langmore
Dustin Tran
Eugene Brevdo
Vasudevan Srinivas
Dave Moore
Brian Patton
Alex Alemi
Matt Hoffman
Rif A. Saurous
1
+ End-to-end Driving via Conditional Imitation Learning 2017 Felipe Codevilla
Matthias Müller
Antonio M. López
Vladlen Koltun
Alexey Dosovitskiy
1
+ CARLA: An Open Urban Driving Simulator 2017 Alexey Dosovitskiy
Germán Ros
Felipe Codevilla
Antonio M. López
Vladlen Koltun
1
+ Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? 2020 Angelos Filos
Panagiotis Tigas
Rowan McAllister
Nicholas Rhinehart
Sergey Levine
Yarin Gal
1
+ FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices 2020 Haoran Qiu
Subho S. Banerjee
Saurabh Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
1
+ FIRM: An intelligent fine-grained resource management framework for SLO-oriented microservices 2020 Haoran Qiu
Subho S. Banerjee
Saurabh Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
1
+ Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters 2019 Subho S. Banerjee
Saurabh W. Jha
Zbigniew Kalbarczyk
Ravishankar K. Iyer
1
+ BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. 2018 Fisher Yu
Wenqi Xian
Yingying Chen
Fangchen Liu
Mike Liao
Vashisht Madhavan
Trevor Darrell
1
+ Suppression of “salt and pepper” noise based on Youden designs 1998 Kamel Boukerrou
L. Kurz
1
+ Probabilistic Inference Using Markov Chain Monte Carlo Methods 2011 Radford M. Neal
1
+ Adversarial Objects Against LiDAR-Based Autonomous Driving Systems 2019 Yulong Cao
Chaowei Xiao
Dawei Yang
Jing Fang
Ruigang Yang
Mingyan Liu
Bo Li
1
+ Expectation Propagation for approximate Bayesian inference 2013 Thomas P. Minka
1
+ YOLOv3: An Incremental Improvement 2018 Joseph Redmon
Ali Farhadi
1
+ Stochastic Variational Inference 2012 Matt Hoffman
David M. Blei
Chong Wang
John Paisley
1
+ PDF Chat Migrating to Cloud-Native Architectures Using Microservices: An Experience Report 2016 Armin Balalaie
Abbas Heydarnoori
Pooyan Jamshidi
1
+ Expectation propagation as a way of life 2020 Aki Vehtari
Andrew Gelman
Tuomas Sivula
Pasi Jylänki
Dustin Tran
Swupnil Sahai
Paul Blomstedt
John P. Cunningham
David Schiminovich
Christian P. Robert
1
+ 007: Democratically Finding the Cause of Packet Drops 2018 Behnaz Arzani
Selim Ciraci
Luiz F. O. Chamon
Yibo Zhu
Hongqiang Liu
Jitu Padhye
Boon Thau Loo
Geoff Outhred
1
+ PDF Chat Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution 2018 Judea Pearl
1
+ PDF Chat AutoML: A survey of the state-of-the-art 2020 Xin He
Kaiyong Zhao
Xiaowen Chu
1
+ PDF Chat Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 2016 Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
1
+ Attacking Vision-based Perception in End-to-End Autonomous Driving Models 2019 Adith Boloor
Karthik Garimella
Xin He
Christopher Gill
Yevgeniy Vorobeychik
Xuan Zhang
1
+ PDF Chat Attacking vision-based perception in end-to-end autonomous driving models 2020 Adith Boloor
Karthik Garimella
Xin He
Christopher Gill
Yevgeniy Vorobeychik
Xuan Zhang
1
+ Finishing flows quickly with preemptive scheduling 2012 Chi-Yao Hong
Matthew Caesar
P. Brighten Godfrey
1
+ PDF Chat QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials 2009 Paolo Giannozzi
Stefano Baroni
Nicola Bonini
Matteo Calandra
Roberto Car
Carlo Cavazzoni
Davide Ceresoli
G. Chiarotti
Matteo Cococcioni
Ismaïla Dabo
1
+ Stochastic variational inference 2013 Matthew D. Hoffman
David M. Blei
Chong Wang
John Paisley
1
+ Continuous control with deep reinforcement learning 2015 Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
Nicolas Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
1
+ PDF Chat Probabilistic programming in Python using PyMC3 2016 John Salvatier
Thomas V. Wiecki
Christopher Fonnesbeck
1
+ Edward: A library for probabilistic modeling, inference, and criticism 2016 Dustin Tran
Alp Kucukelbir
Adji B. Dieng
Maja Rudolph
Dawen Liang
David M. Blei
1
+ PDF Chat Learning to Evaluate Perception Models Using Planner-Centric Metrics 2020 Jonah Philion
Amlan Kar
Sanja Fidler
1