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2020 – today

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2024
[c102]
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Inho Cho, Seo Jin Park, Ahmed Saeed, Mohammad Alizadeh, Adam Belay:
LDB: An Efficient Latency Profiling Tool for Multithreaded Applications. NSDI 2024
[c101]
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Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. NSDI 2024: 569-590
[c100]
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  - conf/sigcomm/BrownAC0ABFKKSS24
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Lloyd Brown, Albert Gran Alcoz, Frank Cangialosi, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Eric J. Friedman, Ethan Katz-Bassett, Arvind Krishnamurthy, Michael Schapira, Scott Shenker:
Principles for Internet Congestion Management. SIGCOMM 2024: 166-180
[c99]
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Lei Yang, Yossi Gilad, Mohammad Alizadeh:
Practical Rateless Set Reconciliation. SIGCOMM 2024: 595-612
[c98]
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  - conf/sigcomm/LiNZNGAA24
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Chenning Li, Arash Nasr-Esfahany, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
m3: Accurate Flow-Level Performance Estimation using Machine Learning. SIGCOMM 2024: 813-827
[i57]
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  - journals/corr/abs-2402-02668
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Lei Yang, Yossi Gilad, Mohammad Alizadeh:
Practical Rateless Set Reconciliation. CoRR abs/2402.02668 (2024)
[i56]
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  - journals/corr/abs-2406-17145
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Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia:
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR abs/2406.17145 (2024)
2023
[j15]
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  - journals/pacmmod/WuNAKM23
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Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1(1): 41:1-41:27 (2023)
[j14]
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Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh:
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16(6): 1520-1533 (2023)
[j13]
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  - journals/toit/SharmaKAVG23
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Sidharth Sharma, Aniruddha Kushwaha, Mohammad Alizadeh, George Varghese, Ashwin Gumaste:
Tuneman: Customizing Networks to Guarantee Application Bandwidth and Latency. ACM Trans. Internet Techn. 23(1): 20:1-20:26 (2023)
[c97]
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  - conf/icde/NegiBAKLGI23
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Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi:
Unshackling Database Benchmarking from Synthetic Workloads. ICDE 2023: 3659-3662
[c96]
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Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah:
Counterfactual Identifiability of Bijective Causal Models. ICML 2023: 25733-25754
[c95]
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  - conf/nsdi/ZhaoGAA23
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Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Scalable Tail Latency Estimation for Data Center Networks. NSDI 2023: 685-702
[c94]
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Inho Cho, Ahmed Saeed, Seo Jin Park, Mohammad Alizadeh, Adam Belay:
Protego: Overload Control for Applications with Unpredictable Lock Contention. NSDI 2023: 725-738
[c93]
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  - conf/nsdi/KhaniAHJNSAB23
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Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl:
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. NSDI 2023: 917-932
[c92]
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  - conf/nsdi/AlomarHNAAS23
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Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI 2023: 1115-1147
[c91]
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  - conf/sigcomm/HamadanianGAC23
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Pouya Hamadanian, Doug Gallatin, Mohammad Alizadeh, Krishna Chintalapudi:
Ekho: Synchronizing cloud gaming media across multiple endpoints. SIGCOMM 2023: 533-549
[i55]
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  - journals/corr/abs-2302-02182
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Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh:
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. CoRR abs/2302.02182 (2023)
[i54]
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  - journals/corr/abs-2302-02228
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Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah:
Counterfactual Identifiability of Bijective Causal Models. CoRR abs/2302.02228 (2023)
[i53]
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  - journals/corr/abs-2305-14135
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Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi:
Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR abs/2305.14135 (2023)
[i52]
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  - journals/corr/abs-2309-16869
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Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks. CoRR abs/2309.16869 (2023)
[i51]
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  - journals/corr/abs-2311-07753
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Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker:
Bringing Reconfigurability to the Network Stack. CoRR abs/2311.07753 (2023)
2022
[j12]
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  - journals/sigmetrics/SivaramanTVFA22
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Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The Effect of Network Topology on Credit Network Throughput. SIGMETRICS Perform. Evaluation Rev. 49(3): 59-60 (2022)
[j11]
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  - journals/sigmod/MarcusNMTAK22
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51(1): 6-13 (2022)
[c90]
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  - conf/aft/NeuSYTA22
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Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Longest Chain Consensus Under Bandwidth Constraint. AFT 2022: 126-147
[c89]
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  - conf/ccs/KaklamanisYA22
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Ioannis Kaklamanis, Lei Yang, Mohammad Alizadeh:
Poster: Coded Broadcast for Scalable Leader-Based BFT Consensus. CCS 2022: 3375-3377
[c88]
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  - conf/hotnets/SussmanMA0ABPS22
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William Sussman, Emily Marx, Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Aurojit Panda, Scott Shenker:
The case for an internet primitive for fault localization. HotNets 2022: 160-166
[c87]
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  - conf/mlsys/ParkFKAB22
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Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay:
Efficient Strong Scaling Through Burst Parallel Training. MLSys 2022
[c86]
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  - conf/nsdi/YangPAKT22
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Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse:
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. NSDI 2022: 493-512
[c85]
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  - conf/nsdi/GoyalSZNAA22
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Prateesh Goyal, Preey Shah, Kevin Zhao, Georgios Nikolaidis, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. NSDI 2022: 779-805
[c84]
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  - conf/sigcomm/Goyal0CNAB22
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Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity detection: a building block for internet congestion control. SIGCOMM 2022: 158-176
[c83]
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  - conf/sigcomm/ArunAB22
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Venkat Arun, Mohammad Alizadeh, Hari Balakrishnan:
Starvation in end-to-end congestion control. SIGCOMM 2022: 177-192
[i50]
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  - journals/corr/abs-2201-01811
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Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR abs/2201.01811 (2022)
[i49]
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  - journals/corr/abs-2201-05560
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Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh:
Reinforcement Learning in Time-Varying Systems: an Empirical Study. CoRR abs/2201.05560 (2022)
[i48]
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  - journals/corr/abs-2202-04321
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Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Optimal Congestion Control for Time-varying Wireless Links. CoRR abs/2202.04321 (2022)
[i47]
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  - journals/corr/abs-2205-01234
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Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Scalable Tail Latency Estimation for Data Center Networks. CoRR abs/2205.01234 (2022)
[i46]
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  - journals/corr/abs-2205-01797
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Lei Yang, Yossi Gilad, Mohammad Alizadeh:
Coded Transaction Broadcasting for High-throughput Blockchains. CoRR abs/2205.01797 (2022)
[i45]
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  - journals/corr/abs-2209-10507
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Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR abs/2209.10507 (2022)
[i44]
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  - journals/corr/abs-2212-05526
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Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR abs/2212.05526 (2022)
2021
[j10]
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  - journals/cacm/BastaniHJPAABCM21
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Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and improving street maps with data-driven automation. Commun. ACM 64(11): 109-117 (2021)
[j9]
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  - journals/pe/SivaramanTVFA21
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Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The effect of network topology on credit network throughput. Perform. Evaluation 151: 102235 (2021)
[j8]
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  - journals/pvldb/NegiMKMTKA21
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Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14(11): 2019-2032 (2021)
[c82]
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  - conf/eurosys/CangialosiNGMAB21
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Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-site internet traffic control. EuroSys 2021: 574-589
[c81]
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  - conf/gis/BastaniHJABCMS21
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Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. SIGSPATIAL/GIS 2021: 53-56
[c80]
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  - conf/iccv/ShirkoohiSA21
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Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. ICCV 2021: 4501-4510
[c79]
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Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. ICCV 2021: 4552-4562
[c78]
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  - conf/iccv/HeSCABM21
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Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden:
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. ICCV 2021: 11957-11965
[c77]
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  - conf/mobisys/BalasingamGMABB21
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Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Toward a Marketplace for Aerial Computing. DroNet@MobiSys 2021: 1-6
[c76]
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Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Throughput-fairness tradeoffs in mobility platforms. MobiSys 2021: 363-375
[c75]
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  - conf/nsdi/LiuGAPRS21
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Shiyu Liu, Ahmad Ghalayini, Mohammad Alizadeh, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman:
Breaking the Transience-Equilibrium Nexus: A New Approach to Datacenter Packet Transport. NSDI 2021: 47-63
[c74]
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Venkat Arun, Mina Tahmasbi Arashloo, Ahmed Saeed, Mohammad Alizadeh, Hari Balakrishnan:
Toward formally verifying congestion control behavior. SIGCOMM 2021: 1-16
[c73]
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Mehrdad Khani Shirkoohi, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi:
SiP-ML: high-bandwidth optical network interconnects for machine learning training. SIGCOMM 2021: 657-675
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. SIGMOD Conference 2021: 1275-1288
[c71]
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Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal:
Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference 2021: 2557-2569
[i43]
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  - journals/corr/abs-2101-04964
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Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR abs/2101.04964 (2021)
[i42]
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Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
SWP: Microsecond Network SLOs Without Priorities. CoRR abs/2103.01314 (2021)
[i41]
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Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The Effect of Network Topology on Credit Network Throughput. CoRR abs/2103.03288 (2021)
[i40]
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Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR abs/2103.13428 (2021)
[i39]
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  - journals/corr/abs-2104-02322
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Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. CoRR abs/2104.02322 (2021)
[i38]
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  - journals/corr/abs-2105-11999
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Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Throughput-Fairness Tradeoffs in Mobility Platforms. CoRR abs/2105.11999 (2021)
[i37]
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  - journals/corr/abs-2110-04371
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Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse:
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. CoRR abs/2110.04371 (2021)
[i36]
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  - journals/corr/abs-2110-06456
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Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. CoRR abs/2110.06456 (2021)
[i35]
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  - journals/corr/abs-2111-12332
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Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. CoRR abs/2111.12332 (2021)
[i34]
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  - journals/corr/abs-2112-10065
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Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay:
Efficient Strong Scaling Through Burst Parallel Training. CoRR abs/2112.10065 (2021)
[i33]
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Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. IACR Cryptol. ePrint Arch. 2021: 1545 (2021)
2020
[j7]
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Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. Proc. VLDB Endow. 14(2): 74-86 (2020)
[j6]
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Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19(8): 5635-5648 (2020)
[c70]
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Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. AAAI 2020: 10965-10972
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Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding. ECCV (24) 2020: 51-67
[c68]
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  - conf/hotnets/NarayanPABKS20
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Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker:
Bertha: Tunneling through the Network API. HotNets 2020: 53-59
[c67]
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Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP 2020: 8565-8568
[c66]
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  - conf/icde/NegiMMTKA20
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Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops 2020: 154-157
[c65]
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  - conf/mobisys/HeBBGJABCKM20
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Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
BeeCluster: drone orchestration via predictive optimization. MobiSys 2020: 299-311
[c64]
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Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
ABC: A Simple Explicit Congestion Controller for Wireless Networks. NSDI 2020: 353-372
[c63]
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Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Kathleen Ruan, Parimarjan Negi, Lei Yang, Radhika Mittal, Giulia Fanti, Mohammad Alizadeh:
High Throughput Cryptocurrency Routing in Payment Channel Networks. NSDI 2020: 777-796
[c62]
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  - conf/osdi/ChoSFPAB20
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Inho Cho, Ahmed Saeed, Joshua Fried, Seo Jin Park, Mohammad Alizadeh, Adam Belay:
Overload Control for µs-scale RPCs with Breakwater. OSDI 2020: 299-314
[c61]
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Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska:
Learned garbage collection. MAPL@PLDI 2020: 38-44
[c60]
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Ahmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif, Rong Pan, Mostafa H. Ammar, Ellen W. Zegura, Keon Jang, Mohammad Alizadeh, Abdul Kabbani, Amin Vahdat:
Annulus: A Dual Congestion Control Loop for Datacenter and WAN Traffic Aggregates. SIGCOMM 2020: 735-749
[c59]
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Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-Dimensional Indexes. SIGMOD Conference 2020: 985-1000
[c58]
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Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference 2020: 1907-1921
[i32]
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  - journals/corr/abs-2004-03814
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Learning to Steer Query Optimizers. CoRR abs/2004.03814 (2020)
[i31]
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  - journals/corr/abs-2004-13301
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Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska:
Learned Garbage Collection. CoRR abs/2004.13301 (2020)
[i30]
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  - journals/corr/abs-2006-06628
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Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. CoRR abs/2006.06628 (2020)
[i29]
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  - journals/corr/abs-2006-13282
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Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR abs/2006.13282 (2020)
[i28]
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  - journals/corr/abs-2007-09547
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Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. CoRR abs/2007.09547 (2020)
[i27]
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  - journals/corr/abs-2008-12858
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Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy:
Real-world Video Adaptation with Reinforcement Learning. CoRR abs/2008.12858 (2020)
[i26]
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  - journals/corr/abs-2011-01258
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Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-Site Internet Traffic Control. CoRR abs/2011.01258 (2020)
[i25]
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  - journals/corr/abs-2012-06683
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Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh:
Cortex: Harnessing Correlations to Boost Query Performance. CoRR abs/2012.06683 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Aisha Mushtaq, Radhika Mittal, James Murphy McCauley, Mohammad Alizadeh, Sylvia Ratnasamy, Scott Shenker:
Datacenter congestion control: identifying what is essential and making it practical. Comput. Commun. Rev. 49(3): 32-38 (2019)
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Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown:
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 21:1-21:42 (2019)
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12(11): 1705-1718 (2019)
[c57]
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  - conf/bs/GoyalSSAA19
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Prateesh Goyal, Preey Shah, Naveen Kr. Sharma, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. BS 2019: 4:1-4:3
[c56]
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Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan:
SageDB: A Learned Database System. CIDR 2019
[c55]
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Prateesh Goyal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
Secure Incentivization for Decentralized Content Delivery. HotEdge 2019
[c54]
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Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. ICLR (Poster) 2019
[c53]
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  - conf/nips/MaoNN0YWMASHNCV19
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Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh:
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 2019: 2490-2502
[c52]
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  - conf/nips/AddankiVGMA19
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Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh:
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. NeurIPS 2019: 3983-3993
[c51]
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Assaf Eisenman, Asaf Cidon, Evgenya Pergament, Or Haimovich, Ryan Stutsman, Mohammad Alizadeh, Sachin Katti:
Flashield: a Hybrid Key-value Cache that Controls Flash Write Amplification. NSDI 2019: 65-78
[c50]
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Yuliang Li, Rui Miao, Mohammad Alizadeh, Minlan Yu:
DETER: Deterministic TCP Replay for Performance Diagnosis. NSDI 2019: 437-452
[c49]
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Yuliang Li, Rui Miao, Hongqiang Harry Liu, Yan Zhuang, Fei Feng, Lingbo Tang, Zheng Cao, Ming Zhang, Frank Kelly, Mohammad Alizadeh, Minlan Yu:
HPCC: high precision congestion control. SIGCOMM 2019: 44-58
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Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning scheduling algorithms for data processing clusters. SIGCOMM 2019: 270-288
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Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh:
End-to-end transport for video QoE fairness. SIGCOMM 2019: 408-423
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  - conf/sigmetrics/JoseIAM19
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Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown:
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. SIGMETRICS (Abstracts) 2019: 57-58
[i24]
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  - journals/corr/abs-1904-03711
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Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. CoRR abs/1904.03711 (2019)
[i23]
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Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks. CoRR abs/1905.03429 (2019)
[i22]
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Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. CoRR abs/1906.04610 (2019)
[i21]
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Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-Assisted Map Editing. CoRR abs/1906.07138 (2019)
[i20]
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Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh:
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. CoRR abs/1906.08879 (2019)
[i19]
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  - journals/corr/abs-1909-09923
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Prateesh Goyal, Preey Shah, Naveen Kr. Sharma, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. CoRR abs/1909.09923 (2019)
[i18]
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  - journals/corr/abs-1909-11261
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Lei Yang, Vivek Kumar Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia Fanti, Pramod Viswanath:
Prism: Scaling Bitcoin by 10, 000x. CoRR abs/1909.11261 (2019)
[i17]
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  - journals/corr/abs-1910-04869
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Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and Improving Street Maps with Data-Driven Automation. CoRR abs/1910.04869 (2019)
[i16]
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  - journals/corr/abs-1912-01668
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Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. CoRR abs/1912.01668 (2019)
[i15]
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Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. CoRR abs/1912.12408 (2019)
2018
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Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Pramod Viswanath:
Costly circuits, submodular schedules and approximate Carathéodory Theorems. Queueing Syst. Theory Appl. 88(3-4): 311-347 (2018)
[c45]
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