We've begun collecting recordings of invited talks and keynotes by Brown CS faculty members as well as any videos that accompany their research papers. They're organized alphabetically by last name or research group below.
Databases
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Everyone Should Use Apache Arrow for Data Systems Research (Andrew Crotty: Invited talk at The Data Thread 2022)
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Are You Sure You Want to Use MMAP in Your Database Management System? (Andrew Crotty, Viktor Leis, Andrew Pavlo: CIDR 2022)
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Mach: A Pluggable Metrics Storage Engine for the Age of Observability (Franco Solleza, Andrew Crotty, Suman Karumuri, Nesime Tatbul, Stan Zdonik: CIDR 2022)
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Encrypted Databases: From Theory to Systems (Zheguang Zhao, Seny Kamara, Tarik Moataz, Stan Zdonik: CIDR 2021)
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Dynamic Query Refinement for Interactive Data Exploration (Alexander Kalinin, Ugur Çetintemel, Zheguang Zhao, Stanley B. Zdonik: EDBT 2020: 49-60)
- DBPal: A Learned NL-Interface for Databases (Fuat Basik, Benjamin Hättasch, Amir Ilkhechi, Arif Usta, Shekar Ramaswamy, Prasetya Utama, Nathaniel Weir, Carsten Binnig, Ugur Çetintemel: SIGMOD Conference 2018: 1765-1768)
- Getting Swole: Generating Access-Aware Code with Predicate Pullups (Andrew Crotty, Alex Galakatos, Tim Kraska: ICDE 2020: 1273-1284)
- The Case for a Learned Sorting Algorithm 1 and 2 (Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska: SIGMOD Conference 2020: 1001-1016)
- DeepSqueeze: Deep Semantic Compression for Tabular Data 1 and 2 (Amir Ilkhechi, Andrew Crotty, Alex Galakatos, Yicong Mao, Grace Fan, Xiran Shi, Ugur Çetintemel: SIGMOD Conference 2020: 1733-1746)
- DBPal: A Fully Pluggable NL2SQL Training Pipeline 1 and 2 (Nathaniel Weir, Prasetya Utama, Alex Galakatos, Andrew Crotty, Amir Ilkhechi, Shekar Ramaswamy, Rohin Bhushan, Nadja Geisler, Benjamin Hättasch, Steffen Eger, Ugur Çetintemel, Carsten Binnig: SIGMOD Conference 2020: 2347-2361)
- Hist-Tree: Those Who Ignore It Are Doomed to Learn (Andrew Crotty: CIDR 2021)
- Tuplex: Data Science in Python at Native Code Speed (Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska: SIGMOD Conference 2021: 1718-1731)
Yu Cheng
- Yu's recordings are available here.
Amy Greenwald
- Learning Equilibria in Simulation-Based Games ... and the Ensuing Empirical Design of Mechanisms (Intellisys 2020)
- The Interplay of Agent and Market Design (Microsoft Faculty Summit 2017)
Maurice Herlihy
- How To Land A Job Interview In Computer Science (2025, TechGuide)
- Further Decentralizing Decentralized Finance (2024, Colloquium d’Informatique de Sorbonne Université)
- Correctness Conditions For Cross-Chain Deals (SRDS 2021 Keynote)
D. Ellis Hershkowitz
- One Tree to Rule Them All: Polylogarithmic Universal Steiner Trees (Google Research NYC)
Jeff Huang
- Jeff's recordings are available here.
Shriram Krishnamurthi
- Shriram's recordings are available here.
Michael Littman
- Michael's recordings are available here.
Peihan Miao
- Peihan's recordings are available here.
Akshay Narayan
Daniel Ritchie
- Learning to Represent 3D Shapes with Programs (SGP Summer School)
- ShapeMOD: Macro Operation Discovery for 3D Shape Programs (Kenny Jones presenting at SIGGRAPH 2021)
- Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms (Kai Wang presenting at SGP 2021)
- Neurosymbolic Generative Models for Structured 3D Content (part of the 3DGV seminar)
- Learning to Infer and Generate programs for 3D Shapes and Scenes (an ICCV workshop talk, requires a Zoom account)
John Savage
- Cyber, Geopolitics, AI, Cloud - All in One Book? (Google Cloud Security podcast)
Malte Schwarzkopf
- OSDI'23 presentation for K9db
- Lillian Tsai on Data Disguises (runner-up for the Best Presentation Award at HotOS)
- Leonhard Spiegelberg on Tuplex (SIGMOD 2021)
- Noria and other dataflow systems (CMU)
Ritambhara Singh
- An introduction to graph neural networks (UCLA CGSI 2024)
- Data-aware modeling and integration in genomics and biomedicine (Columbia University)
- Single-cell data integration using optimal transport (UCLA)
Srinath Sridhar
- Learning to Generate, Edit, and Arrange 3D Object Shapes (UPenn GRASP Lab)
- CVPR 2022 Tutorial on Neural Fields in Computer Vision: video and abstract, schedule, and list of invited speakers
Suresh Venkatasubramanian