David Schwab

14 papers A* 1B 1C 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations.
CoRR
Siddharth Joshi, Haoli Yin, Rishabh Adiga, Ricardo Monti, Aldo Carranza, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Parth Doshi, Paul Burstein, Pratyush Maini, Scott Loftin, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2026 J jnl
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data.
CoRR
Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini
2026 J jnl
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset.
CoRR
Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2025 J jnl
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.
CoRR
Pratyush Maini, Vineeth Dorna, Parth Doshi, Aldo Carranza, Fan Pan, Jack Urbanek, Paul Burstein, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Charvi Bannur, Christina Baek, Darren Teh, David Schwab, Haakon Mongstad, Haoli Yin, Josh Wills, Kaleigh Mentzer, Luke Merrick, Ricardo Monti, Rishabh Adiga, Siddharth Joshi, Spandan Das, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2025 J jnl
Comparing Normal Form Representations for Station-Keeping near Cislunar Libration Points.
CoRR
Carson Hunsberger, David Schwab, Roshan Eapen, Puneet Singla
2025 J jnl
Luxical: High-Speed Lexical-Dense Text Embeddings.
CoRR
Luke Merrick, Alex Fang, Aldo Carranza, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Paul Burstein, Parth Doshi, Paul Burnstein, Pratyush Maini, Ricardo Monti, Rishabh Adiga, Scott Loftin, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt
2022 — conf
Reachability Analysis to Track Non-cooperative Satellite in Cislunar Regime.
DDDAS
David Schwab, Roshan Eapen, Puneet Singla
2021 C conf
Combining LSTM and MDN Networks for traffic forecasting using the Argoverse Dataset.
FUSION
David Schwab, Sean M. O'Rourke, Breton L. Minnehan
2018 — conf
Picture PassDoodle: Usability Study.
BigDataService
David Schwab, Lama ALharbi, Oliver Nichols, Li Yang
2017 B conf
A Secure Mobile Cloud Photo Storage System.
ICCCN
David Schwab, Li Yang, Katherine Winters, Matthew Jallouk, Emile Smith, Adam Claiborne
2016 — conf
Securing a Connected Mobile System for Healthcare.
HASE
Eric Reinsmidt, David Schwab, Li Yang
2013 — conf
Entity authentication in a mobile-cloud environment.
CSIIRW
David Schwab, Li Yang
2008 C conf
A Prototype of Trusted Platform Functionality on Reconfigurable Hardware for Bitstream Updates.
IEEE International Workshop on Rapid System Prototyping
Benjamin Glas, Alexander Klimm, David Schwab, Klaus D. Müller-Glaser, Jürgen Becker
2004 A* conf
Characterising the Use of a Campus Wireless Network.
INFOCOM
David Schwab, Rick Bunt