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Christian Szegedy
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2020 – today
- 2024
- [c30]Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR 2024 - [c29]Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu:
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. ICLR 2024 - [i25]Jin Peng Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Q. Weinberger, Yuhuai Wu:
Don't Trust: Verify - Grounding LLM Quantitative Reasoning with Autoformalization. CoRR abs/2403.18120 (2024) - [i24]David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum:
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR abs/2405.06624 (2024) - 2023
- [i23]Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-based Approach to Premise Selection. CoRR abs/2303.04488 (2023) - 2022
- [c28]Yuhuai Wu, Markus Norman Rabe, DeLesley Hutchins, Christian Szegedy:
Memorizing Transformers. ICLR 2022 - [c27]Piotr Nawrot, Szymon Tworkowski, Michal Tyrolski, Lukasz Kaiser, Yuhuai Wu, Christian Szegedy, Henryk Michalewski:
Hierarchical Transformers Are More Efficient Language Models. NAACL-HLT (Findings) 2022: 1559-1571 - [c26]Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus N. Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy:
Autoformalization with Large Language Models. NeurIPS 2022 - [i22]Yuhuai Wu, Markus N. Rabe, DeLesley Hutchins, Christian Szegedy:
Memorizing Transformers. CoRR abs/2203.08913 (2022) - [i21]Yuhuai Wu, Albert Q. Jiang, Wenda Li, Markus N. Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy:
Autoformalization with Large Language Models. CoRR abs/2205.12615 (2022) - 2021
- [c25]Markus N. Rabe
, Christian Szegedy
Towards the Automatic Mathematician. CADE 2021: 25-37 - [c24]Markus Norman Rabe, Dennis Lee, Kshitij Bansal, Christian Szegedy:
Mathematical Reasoning via Self-supervised Skip-tree Training. ICLR 2021 - [c23]Yuhuai Wu, Markus N. Rabe, Wenda Li, Jimmy Ba, Roger B. Grosse, Christian Szegedy:
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning. ICML 2021: 11251-11262 - [i20]Yuhuai Wu, Markus N. Rabe, Wenda Li, Jimmy Ba, Roger B. Grosse, Christian Szegedy:
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning. CoRR abs/2101.06223 (2021) - [i19]Piotr Nawrot, Szymon Tworkowski, Michal Tyrolski, Lukasz Kaiser, Yuhuai Wu, Christian Szegedy, Henryk Michalewski:
Hierarchical Transformers Are More Efficient Language Models. CoRR abs/2110.13711 (2021) - 2020
- [c22]Aditya Paliwal, Sarah M. Loos, Markus N. Rabe, Kshitij Bansal, Christian Szegedy:
Graph Representations for Higher-Order Logic and Theorem Proving. AAAI 2020: 2967-2974 - [c21]Dennis Lee, Christian Szegedy, Markus N. Rabe, Sarah M. Loos, Kshitij Bansal:
Mathematical Reasoning in Latent Space. ICLR 2020 - [c20]Christian Szegedy:
A Promising Path Towards Autoformalization and General Artificial Intelligence. CICM 2020: 3-20 - [c19]Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu:
Text Embeddings for Retrieval from a Large Knowledge Base. RCIS 2020: 338-351 - [i18]Markus N. Rabe, Dennis Lee, Kshitij Bansal, Christian Szegedy:
Language Modeling for Formal Mathematics. CoRR abs/2006.04757 (2020)
2010 – 2019
- 2019
- [c18]Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, Christian Szegedy, Stewart Wilcox:
HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving. ICML 2019: 454-463 - [i17]Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, Christian Szegedy, Stewart Wilcox:
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving (extended version). CoRR abs/1904.03241 (2019) - [i16]Aditya Paliwal
Graph Representations for Higher-Order Logic and Theorem Proving. CoRR abs/1905.10006 (2019) - [i15]Kshitij Bansal, Sarah M. Loos, Markus N. Rabe, Christian Szegedy:
Learning to Reason in Large Theories without Imitation. CoRR abs/1905.10501 (2019) - [i14]Dennis Lee, Christian Szegedy, Markus N. Rabe, Sarah M. Loos, Kshitij Bansal:
Mathematical Reasoning in Latent Space. CoRR abs/1909.11851 (2019) - 2018
- [i13]Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu:
Text Embeddings for Retrieval From a Large Knowledge Base. CoRR abs/1810.10176 (2018) - 2017
- [c17]Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander A. Alemi:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. AAAI 2017: 4278-4284 - [c16]Cezary Kaliszyk, François Chollet, Christian Szegedy:
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving. ICLR (Poster) 2017 - [c15]Sarah M. Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk
Deep Network Guided Proof Search. LPAR 2017: 85-105 - [i12]Sarah M. Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk:
Deep Network Guided Proof Search. CoRR abs/1701.06972 (2017) - [i11]Cezary Kaliszyk, François Chollet, Christian Szegedy:
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving. CoRR abs/1703.00426 (2017) - 2016
- [c14]Christian Szegedy, Vincent Vanhoucke
Rethinking the Inception Architecture for Computer Vision. CVPR 2016: 2818-2826 - [c13]Wei Liu, Dragomir Anguelov, Dumitru Erhan
SSD: Single Shot MultiBox Detector. ECCV (1) 2016: 21-37 - [c12]Geoffrey Irving, Christian Szegedy, Alexander A. Alemi, Niklas Eén, François Chollet, Josef Urban:
DeepMath - Deep Sequence Models for Premise Selection. NIPS 2016: 2235-2243 - [i10]Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke:
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. CoRR abs/1602.07261 (2016) - [i9]Alexander A. Alemi, François Chollet, Geoffrey Irving, Christian Szegedy, Josef Urban:
DeepMath - Deep Sequence Models for Premise Selection. CoRR abs/1606.04442 (2016) - 2015
- [c11]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan
Going deeper with convolutions. CVPR 2015: 1-9 - [c10]Sergey Ioffe, Christian Szegedy:
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. ICML 2015: 448-456 - [c9]Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy:
Explaining and Harnessing Adversarial Examples. ICLR (Poster) 2015 - [c8]Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich:
Training Deep Neural Networks on Noisy Labels with Bootstrapping. ICLR (Workshop) 2015 - [i8]Sergey Ioffe, Christian Szegedy:
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. CoRR abs/1502.03167 (2015) - [i7]Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna:
Rethinking the Inception Architecture for Computer Vision. CoRR abs/1512.00567 (2015) - [i6]Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg:
SSD: Single Shot MultiBox Detector. CoRR abs/1512.02325 (2015) - [i5]Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay D. Shet, Julian Ibarz, Sacha Arnoud:
Large Scale Business Discovery from Street Level Imagery. CoRR abs/1512.05430 (2015) - 2014
- [c7]Alexander Toshev, Christian Szegedy:
DeepPose: Human Pose Estimation via Deep Neural Networks. CVPR 2014: 1653-1660 - [c6]Dumitru Erhan
Scalable Object Detection Using Deep Neural Networks. CVPR 2014: 2155-2162 - [c5]Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, Rob Fergus:
Intriguing properties of neural networks. ICLR (Poster) 2014 - [i4]Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott E. Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich:
Going Deeper with Convolutions. CoRR abs/1409.4842 (2014) - [i3]Christian Szegedy, Scott E. Reed, Dumitru Erhan, Dragomir Anguelov:
Scalable, High-Quality Object Detection. CoRR abs/1412.1441 (2014) - 2013
- [c4]Christian Szegedy, Alexander Toshev, Dumitru Erhan:
Deep Neural Networks for Object Detection. NIPS 2013: 2553-2561 - [i2]Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov:
Scalable Object Detection using Deep Neural Networks. CoRR abs/1312.2249 (2013) - [i1]Alexander Toshev, Christian Szegedy:
DeepPose: Human Pose Estimation via Deep Neural Networks. CoRR abs/1312.4659 (2013)
2000 – 2009
- 2009
- [c3]Roberto Lublinerman, Christian Szegedy, Stavros Tripakis
Modular code generation from synchronous block diagrams: modularity vs. code size. POPL 2009: 78-89 - 2008
- [j6]Dieter Rautenbach, Christian Szegedy:
A class of problems for which cyclic relaxation converges linearly. Comput. Optim. Appl. 41(1): 53-60 (2008) - [j5]Dieter Rautenbach, Christian Szegedy, Jürgen Werber:
On the cost of optimal alphabetic code trees with unequal letter costs. Eur. J. Comb. 29(2): 386-394 (2008) - 2007
- [j4]Dieter Rautenbach, Christian Szegedy, Jürgen Werber:
The delay of circuits whose inputs have specified arrival times. Discret. Appl. Math. 155(10): 1233-1243 (2007) - [c2]Jürgen Werber, Dieter Rautenbach, Christian Szegedy:
Timing optimization by restructuring long combinatorial paths. ICCAD 2007: 536-543 - [c1]Philip Chong, Christian Szegedy:
A morphing approach to address placement stability. ISPD 2007: 95-102 - 2006
- [j3]Balázs Szegedy, Christian Szegedy:
Symplectic Spaces And Ear-Decomposition Of Matroids. Comb. 26(3): 353-377 (2006) - [j2]Dieter Rautenbach, Christian Szegedy, Jürgen Werber:
Delay optimization of linear depth boolean circuits with prescribed input arrival times. J. Discrete Algorithms 4(4): 526-537 (2006) - 2002
- [j1]Christian Szegedy:
On the Number of 3-Edge Colorings of Cubic Graphs. Eur. J. Comb. 23(1): 113-120 (2002)
Coauthor Index
aka: Markus Norman Rabe
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last updated on 2024-10-07 22:05 CEST by the dblp team
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