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Zico Kolter
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An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
44192018
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
17162011
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
international conference on machine learning, 1310-1320, 2019
16552019
Towards fully autonomous driving: Systems and algorithms
J Levinson, J Askeland, J Becker, J Dolson, D Held, S Kammel, JZ Kolter, ...
2011 IEEE intelligent vehicles symposium (IV), 163-168, 2011
15852011
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International conference on machine learning, 5286-5295, 2018
14952018
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
12932007
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
10222020
Multimodal transformer for unaligned multimodal language sequences
YHH Tsai, S Bai, PP Liang, JZ Kolter, LP Morency, R Salakhutdinov
Proceedings of the conference. Association for Computational Linguistics …, 2019
8982019
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
8652006
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International Conference on Machine Learning, 136-145, 2017
8372017
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
8192012
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
7042004
Overfitting in adversarially robust deep learning
L Rice, E Wong, Z Kolter
International Conference on Machine Learning, 8093-8104, 2020
6772020
Deep equilibrium models
S Bai, JZ Kolter, V Koltun
Advances in Neural Information Processing Systems 32, 2019
5402019
Differentiable convex optimization layers
A Agrawal, B Amos, S Barratt, S Boyd, S Diamond, JZ Kolter
Advances in neural information processing systems 32, 2019
5122019
Input convex neural networks
B Amos, L Xu, JZ Kolter
International Conference on Machine Learning, 146-155, 2017
4822017
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 2010
4772010
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems 31, 2018
4402018
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv 2018
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271 2, 1803
4051803
End-to-end differentiable physics for learning and control
F de Avila Belbute-Peres, K Smith, K Allen, J Tenenbaum, JZ Kolter
Advances in neural information processing systems 31, 2018
3712018
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