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Anna Choromanska

Assistant Professor

    20122020

    Research output per year

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    Research Output

    2020

    Learning-Based Real-Time Process-Aware Anomaly Monitoring for Assured Autonomy

    Patel, N., Saridena, A. N., Choromanska, A., Krishnamurthy, P. & Khorrami, F., 2020, (Accepted/In press) In : IEEE Transactions on Intelligent Vehicles.

    Research output: Contribution to journalArticle

    2019

    A deep learning gated architecture for UGV navigation robust to sensor failures

    Patel, N., Choromanska, A., Krishnamurthy, P. & Khorrami, F., Jun 2019, In : Robotics and Autonomous Systems. 116, p. 80-97 18 p.

    Research output: Contribution to journalArticle

    Beyond backprop: Online alternating minimization with auxiliary variables

    Choromanska, A., Cowen, B., Kumaravel, S., Luss, R., Rigotti, M., Rish, I., Kingsbury, B., DiAchille, P., Gurev, V., Tejwani, R. & Bouneffouf, D., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 2041-2050 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Beyond backprop: Online alternating minimization with auxiliary variables

    Choromanska, A., Cowen, B., Kumaravel, S., Luss, R., Rigotti, M., Rish, I., Kingsbury, B., DiAchille, P., Gurev, V., Tejwani, R. & Bouneffouf, D., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 2041-2050 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Entropy-SGD: Biasing gradient descent into wide valleys (International Conference on Learning Representations, ICLR 2017)

    Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., 2019.

    Research output: Contribution to conferencePaper

    Entropy-SGD: Biasing gradient descent into wide valleys

    Chaudhari, P., Choromanska, A., Soatto, S., Lecun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., Dec 20 2019, In : Journal of Statistical Mechanics: Theory and Experiment. 2019, 12, 124018.

    Research output: Contribution to journalArticle

    Entropy-SGD: Biasing gradient descent into wide valleys. International Conference on Learning Representations (ICLR) 2017

    Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L. & Zecchina, R., Jan 1 2019.

    Research output: Contribution to conferencePaper

    Invertible autoencoder for domain adaptation

    Teng, Y. & Choromanska, A., Jun 1 2019, In : Computation. 7, 2, 20.

    Research output: Contribution to journalArticle

    Open Access

    LSALSA: accelerated source separation via learned sparse coding

    Cowen, B., Saridena, A. N. & Choromanska, A., Sep 15 2019, In : Machine Learning. 108, 8-9, p. 1307-1327 21 p.

    Research output: Contribution to journalArticle

    Reconfigurable network for efficient inferencing in autonomous vehicles

    Fang, S. & Choromanska, A., May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 1183-1189 7 p. 8794064. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Towards automated melanoma detection with deep learning: Data purification and augmentation

    Bisla, D., Choromanska, A., Berman, R. S., Stein, J. A. & Polsky, D., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019. IEEE Computer Society, p. 2720-2728 9 p. 9025648. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2018

    A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI

    Minaee, S., Wang, Y., Choromanska, A., Chung, S., Wang, X., Fieremans, E., Flanagan, S., Rath, J. & Lui, Y. W., Oct 26 2018, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1267-1270 4 p. 8512556. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2018-July).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy

    Patel, N., Nandini Saridena, A., Choromanska, A., Krishnamurthy, P. & Khorrami, F., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 6149-6154 6 p. 8593375. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    VisualBackProp: Efficient visualization of CNNs for autonomous driving

    Bojarski, M., Choromanska, A., Choromanski, K., Firner, B., Ackel, L. J., Muller, U., Yeres, P. & Zieba, K., Sep 10 2018, 2018 IEEE International Conference on Robotics and Automation, ICRA 2018. Institute of Electrical and Electronics Engineers Inc., p. 4701-4708 8 p. 8461053. (Proceedings - IEEE International Conference on Robotics and Automation).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2017

    Sensor modality fusion with CNNs for UGV autonomous driving in indoor environments

    Patel, N., Choromanska, A., Krishnamurthy, P. & Khorrami, F., Dec 13 2017, IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers Inc., p. 1531-1536 6 p. 8205958. (IEEE International Conference on Intelligent Robots and Systems; vol. 2017-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Simultaneous learning of trees and representations for extreme classification and density estimation

    Jernite, Y., Choromanska, A. & Sontag, D., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 2613-2633 21 p. (34th International Conference on Machine Learning, ICML 2017; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Structured adaptive and random spinners for fast machine learning computations

    Bojarski, M., Choromanska, A., Choromanski, K., Fagan, F., Gouy-Pailler, C., Morvan, A., Sakr, N., Sarlos, T. & Atif, J., 2017, International Conference on Articial Intelligence and Statistics (AISTATS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2016

    Binary embeddings with structured hashed projections

    Choromanska, A., Choromanski, K., Bojarski, M., Jebara, T., Kumar, S. & Lecun, Y., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 539-554 16 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Differentially-private learning of low dimensional manifolds

    Choromanska, A., Choromanski, K., Jagannathan, G. & Monteleoni, C., Mar 21 2016, In : Theoretical Computer Science. 620, p. 91-104 14 p.

    Research output: Contribution to journalArticle

    2015

    Deep learning with elastic averaging SGD

    Zhang, S., Choromanska, A. & Lecun, Y., 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 685-693 9 p.

    Research output: Contribution to journalConference article

    Deep learning with elastic averaging SGD

    Zhang, S., Choromanska, A. & LeCun, Y., 2015.

    Research output: Contribution to conferencePaper

    Dierentially-Private Learning of Low Dimensional Manifolds

    Choromanska, A., Choromanski, K., Jagannathan, G. & Monteleoni, C., 2015, Theoretical Computer Science.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Logarithmic time online multiclass prediction

    Choromanska, A. & Langford, J., 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 55-63 9 p.

    Research output: Contribution to journalConference article

    The loss surfaces of multilayer networks

    Choromanska, A., Henaff, M., Mathieu, M., Arous, G. B. & LeCun, Y., 2015, In : Journal of Machine Learning Research. 38, p. 192-204 13 p.

    Research output: Contribution to journalConference article

    The Loss Surfaces of Multilayer Networks

    Choromanska, A., Henaff, M. B., Mathieu, M., Ben Arous, G. & LeCun, Y., 2015, International Conference on Articial Intelligence and Statistics (AISTATS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2014

    Notes on Using Determinantal Point Processes for Clustering with Applications to Text Clustering

    Agarwal, A., Choromanska, A. & Choromanski, K., 2014, CoRR.

    Research output: Book/ReportOther report

    Selected machine learning reductions

    Choromanska, A., 2014, PhD Thesis.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semistochastic quadratic bound methods

    Aravkin, A., Choromanska, A., Jebara, T. & Kanevsky, D., Jan 1 2014.

    Research output: Contribution to conferencePaper

    2013

    Dierentially-Private Learning of Low Dimensional Manifolds

    Choromanska, A., Choromanski, K., Jagannathan, G. & Monteleoni, C., 2013, International Conference on Algorithmic Learning Theory (ALT).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Differentially-private learning of low dimensional manifolds

    Choromanska, A., Choromanski, K., Jagannathan, G. & Monteleoni, C., 2013, Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. p. 249-263 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8139 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fast spectral clustering via the Nystrom method

    Choromanska, A., Jebara, T., Kim, H., Mohan, M. & Monteleoni, C., 2013, International Conference on Algorithmic Learning Theory (ALT).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fast spectral clustering via the Nyström method

    Choromanska, A., Jebara, T., Kim, H., Mohan, M. & Monteleoni, C., 2013, Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. p. 367-381 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8139 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Stochastic Bound Majorization

    Choromanska, A. & Jebara, T., 2013, CoRR.

    Research output: Book/ReportOther report

    2012

    Automatic Reconstruction of 3D neural morphologies using multi-scale graph-based tracking

    Choromanska, A., Chang, S-F. & Yuste, R., 2012, Frontiers in Neural Circuits. p. 6 25 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Automatic reconstruction of neural morphologies with multi-scale graph-based tracking

    Choromanska, A., Chang, S. F. & Yuste, R., Apr 19 2012, In : Frontiers in Neural Circuits. APRIL2012, p. 1-15 15 p.

    Research output: Contribution to journalArticle

    Automatic reconstruction of neural morphologies with multi-scale tracking

    Choromanska, A., Chang, S. F. & Yuste, R., Jun 25 2012, In : Frontiers in Neural Circuits. JUNE 2012

    Research output: Contribution to journalArticle

    Majorization for CRFs and latent likelihoods

    Jebara, T. & Choromanska, A., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 557-565a (Advances in Neural Information Processing Systems; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Majorization for CRFs and latent likelihoods (Supplementary material)

    Jebara, T. & Choromanska, A., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 565b-574 (Advances in Neural Information Processing Systems; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Online clustering with experts

    Choromanska, A. & Monteleoni, C., 2012, In : Journal of Machine Learning Research. 22, p. 227-235 9 p.

    Research output: Contribution to journalConference article