Technion - Israel Institute of Technology

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    3200003 Haifa

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  • 2014

    Design of adaptive porous micro-structures for additive manufacturing

    Ben Shabat, Y. & Fischer, A., 2014, In: Procedia CIRP. 21, p. 133-137 5 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Disrupting learning: Changing local practice for good

    Heyd-Metzuyanim, E., Ma, J. Y., Munter, C., Greeno, J. G., Kelton, M., Hall, R. & Gresalfi, M., 2014, In: Proceedings of International Conference of the Learning Sciences, ICLS. 3, January, p. 1396-1405 10 p.

    Research output: Contribution to journalConference articlepeer-review

  • Goal recognition design

    Keren, S., Gal, A. & Karpas, E., 2014, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 2014-January, January, p. 154-162 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • "How hard is my MDP?" The distribution-norm to the rescue

    Maillard, O. A., Mann, T. A. & Mannor, S., 2014, In: Advances in Neural Information Processing Systems. 2, January, p. 1835-1843 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Is this data for real?

    Rosenberg-Kima, R. & Pardos, Z., 2014, In: CEUR Workshop Proceedings. 1183, p. 141-145 5 p.

    Research output: Contribution to journalConference articlepeer-review

  • Latent bandits

    Maillard, O. A. & Mannor, S., 2014, In: Proceedings of Machine Learning Research. p. 251-259 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Leakage calibration of water distribution networks

    Maskit, M. & Ostfeld, A., 2014, In: Procedia Engineering. 89, p. 664-671 8 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Logistic regression: Tight bounds for stochastic and online optimization

    Hazan, E., Koren, T. & Levy, K. Y., 2014, In: Journal of Machine Learning Research. 35, p. 197-209 13 p.

    Research output: Contribution to journalConference articlepeer-review

  • Minimum volume ellipsoid classification model for contamination event detection in water distribution systems

    Oliker, N. & Ostfeld, A., 2014, In: Procedia Engineering. 70, p. 1280-1288 9 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Modeling and optimizing hydraulic transients in water distribution systems

    Skulovich, O., Perelman, L. & Ostfeld, A., 2014, In: Procedia Engineering. 70, p. 1558-1565 8 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Multi-robot spot-welding cell design: Problem formalization and proposed architecture

    Pellegrinelli, S., Pedrocchi, N., Molinari-Tosatti, L., Fischer, A. & Tolio, T., 2014, In: Procedia CIRP. 21, p. 324-329 6 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Multi-sensor multi-resolution data fusion modeling

    Tansky, D., Fischer, A., Colosimo, B. M., Pagani, L. & Ben Shabat, Y., 2014, In: Procedia CIRP. 21, p. 151-158 8 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Nonlinear Dynamics and Orbital Instabilities of a Magnetic Resonance Force Microscope Operating in Ultra-High Vacuum

    Gottlieb, O., Hacker, E. & Ruiz-oliveras, F. R., 17 Mar 2014, In: IEICE Proceeding Series. 1, p. 360-362

    Research output: Contribution to journalConference articlepeer-review

  • On the definiteness of the weighted Laplacian and its connection to effective resistance

    Zelazo, D. & Burger, M., 2014, In: Proceedings of the IEEE Conference on Decision and Control. 2015-February, February, p. 2895-2900 6 p., 7039834.

    Research output: Contribution to journalConference articlepeer-review

  • Optimal disinfection of water distribution networks following a contamination event

    Ostfeld, A. & Salomons, E., 2014, In: Procedia Engineering. 89, p. 168-172 5 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Optimal neural codes for control and estimation

    Susemihl, A., Opper, M. & Meir, R., 2014, In: Advances in Neural Information Processing Systems. 4, January, p. 2987-2995 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Optimal water system operation using graph theory algorithms

    Price, E. & Ostfeld, A., 2014, In: Procedia Engineering. 89, p. 502-508 7 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Practical approach to water system optimal operation

    Price, E. & Ostfeld, A., 2014, In: Procedia Engineering. 70, p. 1362-1368 7 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Robust logistic regression and classification

    Feng, J., Xu, H., Mannor, S. & Yan, S., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 253-261 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Scaling up approximate value iteration with options: Better policies with fewer iterations

    Mann, T. A. & Mannor, S., 2014, In: 31st International Conference on Machine Learning, ICML 2014. 32, p. 228-250 23 p.

    Research output: Contribution to journalConference articlepeer-review

  • Scaling up robust MDPs using function approximation

    Tamar, A., Mannor, S. & Xu, H., 2014, In: Proceedings of Machine Learning Research. 32, p. 1401-1415 15 p.

    Research output: Contribution to journalConference articlepeer-review

  • Selective stiffening for producing motion conversion mechanisms

    Hotzen, I., Ternyak, O., Shmulevich, S. & Elata, D., 2014, In: Procedia Engineering. 87, p. 1589-1592 4 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Smart grid for optimal provider-consumer collaboration

    Schwartz, R. & Ostfeld, A., 2014, In: Procedia Engineering. 89, p. 1292-1297 6 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Thompson sampling for complex online problems

    Gopalan, A., Mannor, S. & Mansour, Y., 2014, In: 31st International Conference on Machine Learning, ICML 2014. p. 169-186 18 p.

    Research output: Contribution to journalConference articlepeer-review

  • Tunable survivable spanning trees

    Yallouz, J., Rottenstreich, O. & Orda, A., 20 Jun 2014, In: Performance Evaluation Review. 42, 1, p. 315-327 13 p.

    Research output: Contribution to journalConference articlepeer-review

  • Tutorial: Uncertain entity resolution: Re-evaluating entity resolution in the big data era

    Gal, A., 2014, In: Proceedings of the VLDB Endowment. 7, 13, p. 1711-1712 2 p.

    Research output: Contribution to journalConference articlepeer-review

  • 2013

    Analysis of the task superscalar architecture hardware design

    Yazdanpanah, F., Jimenez-Gonzalez, D., Alvarez-Martinez, C., Etsion, Y. & Badia, R. M., 2013, In: Procedia Computer Science. 18, p. 339-348 10 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Approachability, fast and slow

    Mannor, S. & Perchet, V., 2013, In: Journal of Machine Learning Research. 30, p. 474-477 4 p.

    Research output: Contribution to journalConference articlepeer-review

  • Biosensor based on DNA directed immobilization of enzymes onto optically sensitive porous Si

    Shtenberg, G., Massad-Ivanir, N., Moscovitz, O., Engin, S., Sharon, M., Fruk, L. & Segal, E., 2013, In: Materials Research Society Symposium Proceedings. 1569

    Research output: Contribution to journalConference articlepeer-review

  • Comparative performance analysis of SI engine Fed by ethanol and methanol reforming products

    Tartakovsky, L., Baibikov, V. & Veinblat, M., 2013, In: SAE Technical Papers. 11

    Research output: Contribution to journalConference articlepeer-review

  • Design, analysis and additive manufacturing of porous structures for biocompatible micro-scale scaffolds

    Podshivalov, L., Gomes, C. M., Zocca, A., Guenster, J., Bar-Yoseph, P. & Fischer, A., 2013, In: Procedia CIRP. 5, p. 247-252 6 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Improving the visual comprehension of point sets

    Katz, S. & Tal, A., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 121-128 8 p., 6618867.

    Research output: Contribution to journalConference articlepeer-review

  • Learning video saliency from human gaze using candidate selection

    Rudoy, D., Goldman, D. B., Shechtman, E. & Zelnik-Manor, L., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 1147-1154 8 p., 6618996.

    Research output: Contribution to journalConference articlepeer-review

  • Magnetic properties of confined holographic QCD

    Bergman, O., Lifschytz, G. & Lippert, M., 2013, In: Journal of Physics: Conference Series. 462, 1, 012030.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Magnetic properties of four dimensional fermions

    Bergman, O., Lifschytz, G. & Lippert, M., 2013, In: Journal of Physics: Conference Series. 462, 1, 012029.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • MTBF estimation in coherent clock domains

    Beer, S., Ginosar, R., Dobkin, R. & Weizman, Y., 2013, In: Proceedings - International Symposium on Asynchronous Circuits and Systems. p. 166-173 8 p., 6546191.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Multi-scale curve detection on surfaces

    Kolomenkin, M., Shimshoni, I. & Tal, A., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 225-232 8 p., 6618880.

    Research output: Contribution to journalConference articlepeer-review

  • Online learning for time series prediction

    Anava, O., Hazan, E., Mannor, S. & Shamir, O., 2013, In: Journal of Machine Learning Research. 30, p. 172-184 13 p.

    Research output: Contribution to journalConference articlepeer-review

  • Opportunistic strategies for generalized no-regret problems

    Bernstein, A., Mannor, S. & Shimkin, N., 2013, In: Journal of Machine Learning Research. 30, p. 158-171 14 p.

    Research output: Contribution to journalConference articlepeer-review

  • Pattern-driven colorization of 3D surfaces

    Leifman, G. & Tal, A., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 241-248 8 p., 6618882.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Planetary Nebula dust haloes revealed by Herschel

    Herschel Planetary Nebula Survey (HerPlaNS) team, 2013, In: Proceedings of Science.

    Research output: Contribution to journalConference articlepeer-review

  • Q-OCSVM: A q-quantile estimator for high-dimensional distributions

    Glazer, A., Lindenbaum, M. & Markovitch, S., 2013, In: Advances in Neural Information Processing Systems.

    Research output: Contribution to journalConference articlepeer-review

  • Reinforcement learning in robust Markov decision processes

    Lim, S. H., Xu, H. & Mannor, S., 2013, In: Advances in Neural Information Processing Systems.

    Research output: Contribution to journalConference articlepeer-review

  • Robust sparse regression under adversarial corruption

    Chen, Y., Caramanis, C. & Mannor, S., 2013, In: Proceedings of Machine Learning Research. 28, p. 1811-1819 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • Some new results in AdS4/CFT3 duality

    Bergman, O., Hirano, S. & Lifschytz, G., 2013, In: Journal of Physics: Conference Series. 462, 1, 012003.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Sound generated by a wing with a flap interacting with an eddy

    Manela, A. & Huang, L., 2013, In: Proceedings of Meetings on Acoustics. 19, 065062.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
  • Temporal difference methods for the variance of the reward to go

    Tamar, A., Di Castro, D. & Mannor, S., 2013, In: Proceedings of Machine Learning Research. 28, p. 1532-1540 9 p.

    Research output: Contribution to journalConference articlepeer-review

  • What makes a patch distinct?

    Margolin, R., Tal, A. & Zelnik-Manor, L., 2013, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 1139-1146 8 p., 6618995.

    Research output: Contribution to journalConference articlepeer-review

    Open Access