Luke Friedman

According to our database, Luke Friedman authored at least 12 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

VideoGLUE: Video General Understanding Evaluation of Foundation Models.

Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong

Trans. Mach. Learn. Res., 2024

Scaling 4D Representations.

João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman

CoRR, 2024

Augmentations vs Algorithms: What Works in Self-Supervised Learning.

Warren R. Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Mukund Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renan A. Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash

CoRR, 2024

Extending Video Masked Autoencoders to 128 frames.

Nitesh Bharadwaj Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Leveraging Large Language Models in Conversational Recommender Systems.

Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari

CoRR, 2023

2013

A Framework for Proving Proof Complexity Lower Bounds on Random CNFs Using Encoding Techniques.

Luke Friedman

Electron. Colloquium Comput. Complex., 2013

Exponential Lower Bounds for Refuting Random Formulas Using Ordered Binary Decision Diagrams.

Luke Friedman, Yixin Xu

Proceedings of the Computer Science - Theory and Applications, 2013

2012

Kolmogorov Complexity, Circuits, and the Strength of Formal Theories of Arithmetic.

Eric Allender, George Davie, Luke Friedman, Samuel B. Hopkins, Iddo Tzameret

Electron. Colloquium Comput. Complex., 2012

Reductions to the Set of Random Strings: The Resource-Bounded Case.

Eric Allender, Harry Buhrman, Luke Friedman, Bruno Loff

Proceedings of the Mathematical Foundations of Computer Science 2012, 2012

2011

Limits on the Computational Power of Random Strings.

Eric Allender, Luke Friedman, William I. Gasarch

Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

2010

Exposition of the Muchnik-Positselsky Construction of a Prefix Free Entropy Function that is not Complete under Truth-Table Reductions.

Eric Allender, Luke Friedman, William I. Gasarch

Electron. Colloquium Comput. Complex., 2010