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» Efficient Model Checking of Applications with Input Output
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ICMLA
2009
13 years 5 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ASPDAC
2010
ACM
135views Hardware» more  ASPDAC 2010»
13 years 5 months ago
Efficient power grid integrity analysis using on-the-fly error check and reduction
In this paper, we present a new voltage IR drop analysis approach for large on-chip power delivery networks. The new approach is based on recently proposed sampling based reductio...
Duo Li, Sheldon X.-D. Tan, Ning Mi, Yici Cai
LICS
1994
IEEE
13 years 11 months ago
On the Parallel Complexity of Model Checking in the Modal Mu-Calculus
The modal mu-calculus is an expressive logic that can be used to specify safety and liveness properties of concurrent systems represented as labeled transition systems (LTSs). We ...
Shipei Zhang, Oleg Sokolsky, Scott A. Smolka
EMNLP
2011
12 years 7 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
CCS
2001
ACM
13 years 11 months ago
A verifiable secret shuffle and its application to e-voting
We present a mathematical construct which provides a cryptographic protocol to verifiably shuffle a sequence of k modular integers, and discuss its application to secure, universa...
C. Andrew Neff