Arthur Szlam, PhD
Affiliations: | Mathematics | City College of New York, New York, NY, United States |
Area:
learning, visionGoogle:
"Arthur Szlam"Mean distance: 16.81 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Yann LeCun | post-doc | 2009-2011 | Courant Institute/Center for Neural Science, NYU |
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Publications
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| Bronstein MM, Bruna J, LeCun Y, et al. (2017) Geometric Deep Learning: Going beyond Euclidean data Ieee Signal Processing Magazine. 34: 18-42 |
| Chintala S, Ranzato M, Szlam A, et al. (2017) Scale-invariant learning and convolutional networks Applied and Computational Harmonic Analysis. 42: 154-166 |
| Tygert M, Bruna J, Chintala S, et al. (2016) A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11 |
| He Y, Kavukcuoglu K, Wang Y, et al. (2014) Unsupervised feature learning by Deep Sparse Coding Siam International Conference On Data Mining 2014, Sdm 2014. 2: 902-910 |
| Bresson X, Tai XC, Chan TF, et al. (2014) Multi-class transductive learning based on ℓ1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model Journal of Mathematical Imaging and Vision. 49: 191-201 |
| Bruna J, Szlam A, Lecun Y. (2014) Signal recovery from pooling representations 31st International Conference On Machine Learning, Icml 2014. 2: 1585-1598 |
| Szlam A, Gregor K, LeCun Y. (2012) Fast approximations to structured sparse coding and applications to object classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7576: 200-213 |
| Gregor K, Szlam A, LeCun Y. (2011) Structured sparse coding via lateral inhibition Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 |