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- Peter Alvaro
University of California, Santa Cruz
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Publication search results
found 154 matches
- 2024
- Peter Alvaro, Manuel Rigger:
Automatically Testing Database Systems: DBMS testing with test oracles, transaction history, and fuzzing. ACM Queue 21(6): 128-135 (2024) - Peter Alvaro, Matthew Adiletta, Adrian Cockroft, Frank Hady, Ramesh Illikkal, Esteban Ramos, James Tsai, Robert Soulé:
NotNets: Accelerating Microservices by Bypassing the Network. CoRR abs/2404.06581 (2024) - 2023
- Ramnatthan Alagappan
, Peter Alvaro:
Research for Practice: Crash Consistency. Commun. ACM 66(1): 52-54 (2023) - Kostis Kaffes, Peter Alvaro:
Research for Practice: OS Scheduling. Commun. ACM 66(9): 52-54 (2023) - Muhammad Nouman Nafees
, Neetesh Saxena
, Alvaro A. Cárdenas
, Santiago Grijalva
, Pete Burnap
:
Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review. ACM Comput. Surv. 55(10): 215:1-215:36 (2023) - Kostis Kaffes, Peter Alvaro:
OS Scheduling: Better scheduling policies for modern computing systems. ACM Queue 21(2): 88-95 (2023) - Fernando Garnacho, Fernando Álvarez, Alf-Peter Elg, Christian Mier
, Kari Lahti
, Abderrahim Khamlichi, Eduardo Arcones, Joni V. Klüss
, Armando Rodrigo-Mor
, Pertti Pakonen, José Ramón Vidal, Álvaro Camuñas, Jorge Rovira
, Carlos Vera, Miran Haider:
Metrological Qualification of PD Analysers for Insulation Diagnosis of HVDC and HVAC Grids. Sensors 23(14): 6317 (2023) - Tuan Tran, Faisal Nawab, Peter Alvaro, Owen Arden:
Unstick Yourself: Recoverable Byzantine Fault Tolerant Services. ICBC 2023: 1-9 - Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Learning rigid dynamics with face interaction graph networks. ICLR 2023 - Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin:
Pre-training via Denoising for Molecular Property Prediction. ICLR 2023 - Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha:
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR abs/2308.15560 (2023) - Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter C. Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer
, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer:
Neural General Circulation Models. CoRR abs/2311.07222 (2023) - Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter W. Battaglia, Rémi Lam, Matthew Willson:
GenCast: Diffusion-based ensemble forecasting for medium-range weather. CoRR abs/2312.15796 (2023) - 2022
- Martin Kleppmann, Peter Alvaro:
Research for practice: convergence. Commun. ACM 65(11): 104-106 (2022) - Ram Alagappan, Peter Alvaro:
Crash Consistency: Keeping data safe in the presence of crashes is a fundamental problem. ACM Queue 20(4): 107-115 (2022) - Martin Kleppmann, Peter Alvaro:
Covergence: Research for Practice reboot. ACM Queue 20(3): 88-95 (2022) - Stefan Nagy, Peter Alvaro:
The Fun in Fuzzing: The debugging technique comes into its own. ACM Queue 20(6): 80-87 (2022) - Álvaro Gil Andrés, Niek Beckers
, David A. Abbink
, Luka Peternel:
Arbitration of Authority in Physical Human-Robot Collaboration with Combined Preventive and Reactive Fatigue Management. BioRob 2022: 1-6 - Kamala Ramasubramanian, Eliana Phillips, Peter Alvaro:
Mining microservice design patterns. SoCC 2022: 190-195 - Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Graph network simulators can learn discontinuous, rigid contact dynamics. CoRL 2022: 1157-1167 - Erin Lee, Mitali Kamat, Lucas Temor, Christopher M. Schiafone, Lillian Fan, Jessie Liu, Peter Coppin, Alvaro Uribe-Quevedo, Robert Ingino, Ali Raza Syed, David Rojas, Teresa Lee, Sharman Perera, Adam Dubrowski, Mahadeo Sukhai:
Prototyping a Spatial Skills AR Authoring Tool for Partially Sighted, Blind, and Sighted Individuals. GEM 2022: 1-6 - Tuan Tran, Haofan Zheng
, Peter Alvaro, Owen Arden:
Payment Channels Under Network Congestion. ICBC 2022: 1-5 - Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia:
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR 2022 - Kimberly L. Stachenfeld, Drummond Buschman Fielding, Dmitrii Kochkov, Miles D. Cranmer, Tobias Pfaff, Jonathan Godwin, Can Cui, Shirley Ho, Peter W. Battaglia, Alvaro Sanchez-Gonzalez:
Learned Simulators for Turbulence. ICLR 2022 - Yulia Rubanova, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Peter W. Battaglia:
Constraint-based graph network simulator. ICML 2022: 18844-18870 - Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. NeurIPS 2022 - Mitali Kamat, Alvaro Uribe-Quevedo, Peter Coppin:
Tangible Construction Kit for Blind and Partially Sighted Drawers: Co-Designing a cross-sensory 3D interface with blind and partially sighted drawers during Covid-19. TEI 2022: 76:1-76:6 - Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Jessica B. Hamrick, Tobias Pfaff:
Physical Design using Differentiable Learned Simulators. CoRR abs/2202.00728 (2022) - Kamala Ramasubramanian, Ashutosh Raina, Jonathan Mace, Peter Alvaro:
ACT now: Aggregate Comparison of Traces for Incident Localization. CoRR abs/2205.06933 (2022) - Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin:
Pre-training via Denoising for Molecular Property Prediction. CoRR abs/2206.00133 (2022)
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