PhD In Mathematics, University of Bonn Worked as a research scientist at Cadence
Research Laboratories in Berkeley: design automation of digital circuits, physical
design and logic synthesis. Christian is a researcher at Google working on machine
learning, AI and computer vision via deep learning.
-
Deep Network Guided Proof Search
Sarah Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk
LPAR-21. 21st International Conference on Logic for Programming, Artificial
Intelligence and Reasoning, EasyChair (2017), pp. 85-105
-
HolStep: a Machine Learning Dataset for
Higher-Order Logic Theorem Proving
Cezary Kaliszyk, Francois Chollet, Christian Szegedy
ICLR 2017 (2017) (to appear)
-
DeepMath - Deep Sequence Models for Premise
Selection
Alex A. Alemi, Francois Chollet, Geoffrey Irving, Christian Szegedy, Josef Urban
NIPS (2016)
-
Inception-v4, Inception-ResNet and the Impact of
Residual Connections on Learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alex A. Alemi
ICLR 2016 Workshop
-
Rethinking the Inception Architecture for Computer
Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, (2016)
-
SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan,
Christian Szegedy, Scott Reed,,
Cheng-Yang Fu,, Alexander C. Berg
Proceedings of the European Conference on Computer Vision (ECCV) (2016) (to
appear)
-
Batch Normalization: Accelerating Deep Network
Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
Proceedings of The 32nd International Conference on Machine Learning (2015), pp.
448-456
-
Explaining and Harnessing Adversarial Examples
Ian Goodfellow, Jonathon Shlens, Christian Szegedy
International Conference on Learning Representations (2015)
-
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov,
Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Computer Vision and Pattern Recognition (CVPR) (2015)
-
Large Scale Business Discovery from Street Level
Imagery
Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay Shet, Julian
Ibarz, Sacha Arnoud
arXiv (2015)
-
Scalable, high-quality object detection
Christian Szegedy, Scott Reed, Dumitru Erhan, Dragomir Anguelov
arXiv (2015)
-
Training Deep Neural Networks on Noisy Labels with
Bootstrapping
Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich
ICLR 2015
-
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev, Christian Szegedy
Computer Vision and Pattern Recognition (2014) (to appear)
-
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba,
Ilya Sutskever, Joan Bruna, Dumitru Erhan,
Ian Goodfellow, Rob Fergus
International Conference on Learning Representations (2014)
-
Scalable Object Detection using Deep Neural
Networks
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
Computer Vision and Pattern Recognition, IEEE (2014), pp. 2155- 2162
-
Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Advances in Neural Information Processing Systems (2013)
