Built on

Y. Bengio, P. Simard, and P. Frasconi, Neural Networks, IEEE Transactions on 5
1994
Earlier work this paper cites.
S. Hochreiter, Recurrent Neural Net Learning and Vanishing Gradient (1998)
1998
Earlier work this paper cites.
T. Sjostrand et al. , JHEP 05
2006
Earlier work this paper cites.
S. Ovyn, X. Rouby, and V. Lemaitre, (2009), arXiv:0903.2225 [hep-ph]
Original
2009
Earlier work this paper cites.
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio, in Proceedings of the Python for Scientific Computing Conference (SciPy) (Austin, TX, 2010) oral Presentation
2010
Earlier work this paper cites.
J. Alwall et al. , JHEP 1106
Original
2011
Earlier work this paper cites.

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A. Elagin, P. Murat, A. Pranko, and A. Safonov, Nucl.Instrum.Meth. A654
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G. Aad, T. Abajyan, B. Abbott, J. Abdallah, S. A. Khalek, A. A. Abdelalim, O. Abdinov, R. Aben, B. Abi, M. Abolins, O. S. AbouZeid, H. Abramowicz, H. Abreu, B. S. Acharya, L. Adamczyk, and others, Science 338
2012
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D. Abbaneo, G. Abbiendi, M. Abbrescia, S. Abdullin, A. Abdulsalam, B. S. Acharya, D. Acosta, J. G. Acosta, A. Adair, W. Adam, N. Adam, D. Adamczyk, T. Adams, M. R. Adams, A. Adiguzel, and others, Science 338
2012
Cited alongside, same era.

Then

I. J. Goodfellow, D. Warde-Farley, P. Lamblin, V. Dumoulin, M. Mirza, R. Pascanu, J. Bergstra, F. Bastien, and Y. Bengio, Pylearn2: a machine learning research library , arXiv e-print 1308.4214 (2013)
Original
2013
Later among the works it cites.
G. Montúfar, R. Pascanu, K. Cho, and Y. Bengio, arXiv:1402.1869 [cs, stat] (2014) , arXiv: 1402.1869
Original
2014
Closest in time.
P. Baldi, P. Sadowski, and D. Whiteson, Nature Communications 5
2014
Closest in time.
M. A. Gelbart, J. Snoek, and R. P. Adams, in Uncertainty in Artificial Intelligence, Proceedings of the Thirteenth Conference (Quebec City, Canada, 2014)
2014
Closest in time.
P. Baldi and P. Sadowski, Artificial Intelligence 210
2014
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2014

Enhanced Higgs to $\tau^+\tau^-$ Searches with Deep Learning

Baldi, Pierre, Sadowski, Peter, Whiteson, Daniel

Understand

The Higgs boson is thought to provide the interaction that imparts mass to the fundamental fermions, but while measurements at the Large Hadron Collider (LHC) are consistent with this hypothesis, current analysis techniques lack the statistical power to cross the traditional 5$\sigma$ significance barrier without more data.

\emph{Deep learning} techniques have the potential to increase the statistical power of this analysis by \emph{automatically} learning complex, high-level data representations.
In this work, deep neural networks are used to detect the decay of the Higgs to a pair of tau leptons.
A Bayesian optimization algorithm is used to tune the network architecture and training algorithm hyperparameters, resulting in a deep network of eight non-linear processing layers that improves upon the performance of shallow classifiers even without the use of features specifically engineered by physicists for this application.

Built on

Y. Bengio, P. Simard, and P. Frasconi, Neural Networks, IEEE Transactions on 5
1994
Earlier work this paper cites.
S. Hochreiter, Recurrent Neural Net Learning and Vanishing Gradient (1998)
1998
Earlier work this paper cites.
T. Sjostrand et al. , JHEP 05
2006
Earlier work this paper cites.
S. Ovyn, X. Rouby, and V. Lemaitre, (2009), arXiv:0903.2225 [hep-ph]
Original
2009
Earlier work this paper cites.
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio, in Proceedings of the Python for Scientific Computing Conference (SciPy) (Austin, TX, 2010) oral Presentation
2010
Earlier work this paper cites.
J. Alwall et al. , JHEP 1106
Original
2011
Earlier work this paper cites.

Similar

A. Elagin, P. Murat, A. Pranko, and A. Safonov, Nucl.Instrum.Meth. A654
Original
2011
Cited alongside, same era.
G. Cowan, K. Cranmer, E. Gross, and O. Vitells, Eur.Phys.J. C71
Original
2011
Cited alongside, same era.
G. Aad, T. Abajyan, B. Abbott, J. Abdallah, S. A. Khalek, A. A. Abdelalim, O. Abdinov, R. Aben, B. Abi, M. Abolins, O. S. AbouZeid, H. Abramowicz, H. Abreu, B. S. Acharya, L. Adamczyk, and others, Science 338
2012
Cited alongside, same era.
D. Abbaneo, G. Abbiendi, M. Abbrescia, S. Abdullin, A. Abdulsalam, B. S. Acharya, D. Acosta, J. G. Acosta, A. Adair, W. Adam, N. Adam, D. Adamczyk, T. Adams, M. R. Adams, A. Adiguzel, and others, Science 338
2012
Cited alongside, same era.

Then

I. J. Goodfellow, D. Warde-Farley, P. Lamblin, V. Dumoulin, M. Mirza, R. Pascanu, J. Bergstra, F. Bastien, and Y. Bengio, Pylearn2: a machine learning research library , arXiv e-print 1308.4214 (2013)
Original
2013
Later among the works it cites.
G. Montúfar, R. Pascanu, K. Cho, and Y. Bengio, arXiv:1402.1869 [cs, stat] (2014) , arXiv: 1402.1869
Original
2014
Closest in time.
P. Baldi, P. Sadowski, and D. Whiteson, Nature Communications 5
2014
Closest in time.
M. A. Gelbart, J. Snoek, and R. P. Adams, in Uncertainty in Artificial Intelligence, Proceedings of the Thirteenth Conference (Quebec City, Canada, 2014)
2014
Closest in time.
P. Baldi and P. Sadowski, Artificial Intelligence 210
2014
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

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J. Snoek, H. Larochelle, and R. P. Adams, in Advances in Neural Information Processing Systems 25 , edited by F. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger (Curran Associates, Inc., 2012) pp. 2951–2959

2012

Cited alongside, same era.

G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, arXiv:1207.0580 (2012)

Original

2012

Cited alongside, same era.