Alessandro Achille PhD student

University of California, Los Angeles
achille at cs.ucla.edu
alexachi

Since Fall 2015, I am a PhD student at the Computer Science department of UCLA, working with Prof. Stefano Soatto in the Vision Lab. I have also been a research scientist intern at Deep Mind since November 2017. My research interests include information theory, variational inference, representation learning, deep learning and their applications to computer vision.

Before coming to UCLA, I obtained a Master in Pure Math at the Scuola Normale Superiore and the University of Pisa, where I studied model theory, algebraic topology, and their intersection with Prof. Alessandro Berarducci. During that period, I have also been a visiting student at the University of Leeds Math department.

Publications

  • A. Achille, M. Rovere, S. Soatto
    Critical Learning Periods in Deep Neural Networks
    ArXiv preprint
    @ARTICLE{achille2017critical,
       author = {{Achille}, A. and {Rovere}, M. and {Soatto}, S.},
        title = "{Critical Learning Periods in Deep Neural Networks}",
      journal = {ArXiv e-prints},
    archivePrefix = "arXiv",
       eprint = {1711.08856},
     primaryClass = "cs.LG",
     keywords = {Computer Science - Learning, Quantitative Biology - Neurons and Cognition, Statistics - Machine Learning},
         year = 2017,
        month = nov,
    }
    
  • A. Achille, S. Soatto
    A Separation Principle for Control in the Age of Deep Learning
    Annual Reviews of Control, Robotics and Autonomous Systems, 2018
    @article{achille2017separation,
        author = { Alessandro  Achille and  Stefano  Soatto},
        title = {A Separation Principle for Control in the Age of Deep Learning},
        journal = {Annual Review of Control, Robotics, and Autonomous Systems},
        volume = {1},
        number = {1},
        pages = {null},
        year = {2018},
        doi = {10.1146/annurev-control-060117-105140},
    
        URL = { 
            https://doi.org/10.1146/annurev-control-060117-105140
            
        },
        eprint = { 
            https://doi.org/10.1146/annurev-control-060117-105140
        }
    }
    
  • A. Achille, S. Soatto
    Emergence of Invariance and Disentangling in Deep Representations
    Journal of Machine Learning Research (JMLR), in press; also Proceedings of the ICML 2017 Workshop on Principled Approaches to Deep Learning
    @ARTICLE{achille2017emergence,
       author = {{Achille}, A. and {Soatto}, S.},
        title = "{Emergence of Invariance and Disentangling in Deep Representations}",
      journal = {Proceedings of the ICML Workshop on Principled Approaches to Deep Learning},
       eprint = {1706.01350},
     primaryClass = "cs.LG",
     keywords = {Computer Science - Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning},
         year = 2017
    }
    
  • A. Achille, S. Soatto
    Information Dropout: learning optimal representations through noisy computation
    Transactions on Pattern Analysis and Machine Intelligence (PAMI)
    @ARTICLE{achille2018information, 
        author={A. Achille and S. Soatto}, 
        journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
        title={Information Dropout: Learning Optimal Representations Through Noisy Computation}, 
        year={2018}, 
        volume={PP}, 
        number={99}, 
        pages={1-1}, 
        keywords={Bayes methods;Information theory;Machine learning;Neural networks;Noise measurement;Training;Representation learning;deep learning;information bottleneck;invariants;minimality;nuisances}, 
        doi={10.1109/TPAMI.2017.2784440}, 
        ISSN={0162-8828}, 
    month={},}
    }
    
  • A. Achille, A. Berarducci
    A Vietoris-Smale mapping theorem for the homotopy of hyperdefinable sets
    Selecta Mathematica
    @article{achille2018a,
      author = {Achille, Alessandro and Berarducci, Alessandro},
      year = {2018},
      title = {A Vietoris-Smale mapping theorem for the homotopy of hyperdefinable sets},
      journal = {Selecta Mathematica},
      issn = {1022-1824},
      doi = {10.1007/s00029-018-0413-3},
      month = {4},
      pages = {1--29},
      url = {http:https://doi.org/10.1007/s00029-018-0413-3},
      abstract = {Results of Smale (1957) and Dugundji (1969) allow to compare the homotopy groups of two topological spaces X and Y whenever a map f:X→Y with strong connectivity conditions on the fibers is given. We can apply similar techniques to compare the homotopy of spaces living in different categories, for instance an abelian variety over an algebraically closed field, and a real torus. More generally, working in o-minimal expansions of fields, we compare the o-minimal homotopy of a definable set X with the homotopy of some of its bounded hyperdefinable quotients X/E. Under suitable assumption, we show that pi_n^def(X)=pi_n(X/E) and dim(X)=dim_R(X/E). As a special case, given a definably compact group, we obtain a new proof of Pillay's group conjecture dim(G)=dim_R(G/G00)€ largely independent of the group structure of G. We also obtain different proofs of various comparison results between classical and o-minimal homotopy.}
    }
    

Earlier work

  • A. Achille
    On definable groups in o-minimal and NIP settings
    MSc thesis, University of Pisa, 2015