Technion - Israel Institute of Technology

Research output

Research output per year 1962 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 26348 Article
• 8339 Conference contribution
• 1694 Chapter
• 1134 Conference article
• 5029 More
  • 1032 Review article
  • 957 Paper
  • 488 Patent
  • 410 Editorial
  • 388 Comment/debate
  • 374 Book
  • 256 Other contribution
  • 236 Report
  • 180 Letter
  • 141 Other
  • 125 Meeting Abstract
  • 123 Preprint
  • 62 Abstract
  • 53 Short survey
  • 39 Working paper
  • 34 Foreword/postscript
  • 32 Anthology
  • 28 Poster
  • 25 Book/Film/Article review
  • 21 Entry for encyclopedia/dictionary
  • 14 Special issue
  • 9 Book/Arts/ article review
  • 1 Digital or Visual Products
  • 1 Discussion paper

Research output per year

Research output per year

Search results

• 2024

  Accelerating the Global Aggregation of Local Explanations

  Mor, A., Belinkov, Y. & Kimelfeld, B., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 17, p. 18807-18814 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Adversarial Example 100%
  • Classifier 100%
  • Computational Cost 100%
  • Aggregation Function 100%

• Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

  Azran, G., Danesh, M. H., Albrecht, S. V. & Keren, S., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 10, p. 10953-10961 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Reinforcement Learning 100%

• Efficient Online Crowdsourcing with Complex Annotations

  Meir, R., Nguyen, V. A., Chen, X., Ramakrishnan, J. & Weinsberg, U., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 10119-10127 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Annotation 100%
  • on-line algorithm 16%
  • Crowdsourcing Platform 16%

• Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

  Amitai, Y., Septon, Y. & Amir, O., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 10003-10011 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Reinforcement Learning 100%
  • Learning Agent 100%
  • Benefits 100%
  • And-States 50%
  • Decision-Making 50%

• Principal-Agent Reward Shaping in MDPs

  Ben-Porat, O., Mansour, Y., Moshkovitz, M. & Taitler, B., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 9502-9510 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Principal-Agent 100%

• Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

  Lev-Yehudi, I., Barenboim, M. & Indelman, V., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 18, p. 20176-20184 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Process Planning 100%
  • Observation Model 100%
  • Partially Observable Markov Decision Process 100%
  • Markov Decision Process 100%
  • Decision Process 100%

• Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization

  Gadot, U., Derman, E., Kumar, N., Elfatihi, M., Levy, K. & Mannor, S., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 19, p. 2109021098 1 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Regularization 100%
  • Markov Decision Process 100%
  • Incentives 100%
  • Numerical Experiment 25%

• Spatial Voting with Incomplete Voter Information

  Imber, A., Israel, J., Brill, M., Shachnai, H. & Kimelfeld, B., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 9790-9797 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Voting Rule 100%
  • Theory of Preferences 100%

• The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

  Bar, A., Mulayoff, R., Michaeli, T. & Talmon, R., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 18, p. 20328-20336 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Objective Function 100%
  • Closed Form 100%
  • Matrix (Mathematics) 100%
  • Stationary Point 100%
  • Neural Network 100%
• 2023

  Adaptive Meta-Learning via data-dependent PAC-Bayes bounds

  Friedman, L. & Meir, R., 2023, In: Proceedings of Machine Learning Research. 232, p. 796-810 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Generalization Error 100%
  • Dependent Data 100%
  • Neural Network 100%
  • Image Classification 100%
  • Error Bound 50%

• A graphon-signal analysis of graph neural networks

  Levie, R., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Neural Network 100%
  • Similarity Measure 18%
  • Random Graph 9%
  • Metric Space 9%
  • Compact Metric Space 9%

• Answering Aggregate Queries with Ordered Direct Access

  Eldar, I., Carmeli, N. & Kimelfeld, B., 2023, In: CEUR Workshop Proceedings. 3409

  Research output: Contribution to journal › Conference article › peer-review

  • Conjunctive Query 100%
  • Data Structure 50%
  • Aggregate Function 50%
  • Lexicographic Order 50%

• Approximately Equivariant Graph Networks

  Huang, N., Levie, R. & Villar, S., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Equivariant 100%
  • Neural Network 100%
  • Permutation 28%
  • Automorphism 28%
  • Convolution 28%

• A Trichotomy for Transductive Online Learning

  Hanneke, S., Moran, S. & Shafer, J., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Lower and upper bounds 100%
  • VC Dimension 100%
  • Minimal Number 100%

• Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences

  Razon, O., Harris, Y., Gottlieb, S., Carmon, D., David, O. & Kaminer, I., 2023, In: Proceedings of Machine Learning Research. 202, p. 28809-28842 34 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Integer 100%
  • Continued Fraction 100%
  • Mathematical Constant 100%
  • Mathematics 25%
  • Bessel Function 25%

• B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

  Oprescu, M., Dorn, J., Ghoummaid, M., Jesson, A., Kallus, N. & Shalit, U., 2023, In: Proceedings of Machine Learning Research. 202, p. 26599-26618 20 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Treatment Effect 100%
  • Causal Effect 100%
  • Confounding 100%
  • Conditionals 60%
  • Observational Data 40%
  2 Scopus citations

• Calibrating AI Models for Few-Shot Demodulation VIA Conformal Prediction

  Cohen, K. M., Park, S., Simeone, O. & Shamai Shitz, S., 2023, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Demodulator 100%
  • Demodulation 100%
  • Conformal Prediction 100%
  • Nonlinearity 33%
  • Communication System 33%

• Causal Strategic Classification: A Tale of Two Shifts

  Horowitz, G. & Rosenfeld, N., 2023, In: Proceedings of Machine Learning Research. 202, p. 13233-13253 21 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Strategic Behavior 100%
  • Synthetic Data 100%
  • Learning Algorithm 100%
  • Predictive Model 100%
  • Primary Objective 100%
  1 Scopus citations

• Conformal Prediction is Robust to Dispersive Label Noise

  Feldman, S., Einbinder, B. S., Bates, S., Angelopoulos, A. N., Gendler, A. & Romano, Y., 2023, In: Proceedings of Machine Learning Research. 204, p. 624-626 3 p.

  Research output: Contribution to journal › Conference article › peer-review

• Conformal Prediction with Missing Values

  Zaffran, M., Dieuleveut, A., Josse, J. & Romano, Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 40578-40604 27 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Missing Value 100%
  • Quantile Regression 40%
  • Prediction Interval 40%
  • Number 20%
  • Linear Models 20%

• Continual Learning in Linear Classification on Separable Data

  Evron, I., Moroshko, E., Buzaglo, G., Khriesh, M., Marjieh, B., Srebro, N. & Soudry, D., 2023, In: Proceedings of Machine Learning Research. 202, p. 9440-9484 45 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Regularization 100%
  • Convex Set 50%
  • Upper Bound 50%
  • Theoretical Difference 50%
  1 Scopus citations

• ContraBAR: Contrastive Bayes-Adaptive Deep RL

  Choshen, E. & Tamar, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 6005-6027 23 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Reinforcement Learning 100%
  • Predictive Coding 100%
  • Learning Algorithm 100%
  • Contrastive Learning 33%
  • Learning Approach 33%

• Deep Contract Design via Discontinuous Networks

  Wang, T., Dütting, P., Ivanov, D., Talgam-Cohen, I. & Parkes, D. C., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Utility Function 100%
  • Closed Form 100%
  • Affine Function 100%
  • Training Sample 100%
  • Interior Point 100%

• Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration

  Adrai, T. J., Ohayon, G., Elad, M. & Michaeli, T., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Image Restoration 100%
  • Perceptual Quality 100%
  • Expenditure 100%
  • Restored Image 28%
  • Image Content 14%

• Delegated Classification

  Saig, E., Talgam-Cohen, I. & Rosenfeld, N., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Machine Learning 100%
  • Theoretical Framework 50%
  • Performance Outcome 50%
  • Classification Task 50%
  • Learning Curve 50%

• Derandomized novelty detection with FDR control via conformal e-values

  Bashari, M., Epstein, A., Romano, Y. & Sesia, M., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Machine Learning Algorithm 100%
  • False Discovery 100%
  • Alternative Technique 100%
  • Side Information 100%

• DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

  Karkus, P., Ivanovic, B., Mannor, S. & Pavone, M., 2023, In: Proceedings of Machine Learning Research. 205, p. 2170-2180 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Autonomous Vehicles 100%
  • Interpretability 40%
  • Control Algorithm 20%
  • Planning Algorithm 20%
  • Deep Neural Network 20%
  5 Scopus citations

• DoCoFL: Downlink Compression for Cross-Device Federated Learning

  Dorfman, R., Vargaftik, S., Ben-Itzhak, Y. & Levy, K. Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 8356-8388 33 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Federated Learning 100%
  • Communication Overhead 50%
  • Parameter Server 50%
  • Compression Technique 50%
  • Compression Scheme 50%

• Do Perceptually Aligned Gradients Imply Robustness?

  Ganz, R., Kawar, B. & Elad, M., 2023, In: Proceedings of Machine Learning Research. 202, p. 10628-10648 21 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Adversarial Machine Learning 100%
  • Classifier 100%
  • Validate Architecture 50%
  • Human Perception 50%
  1 Scopus citations

• Efficient Multi-Query Bi-Objective Search via Contraction Hierarchies

  Zhang, H., Salzman, O., Felner, A., Kumar, T. K. S., Ulloa, C. H. & Koenig, S., 2023, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 33, 1, p. 452-461 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Preprocessing Time 100%
  • Pareto Frontier 100%
  • Speed-up 50%
  • Single Objective 50%
  • Preprocessing Technique 50%
  1 Scopus citations

• Explaining Agent Preferences & Behavior: Integrating Reward-Decomposition & Contrastive-Highlights

  Septon, Y., Amitai, Y. & Amir, O., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2295-2297 3 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Behavior (Neuroscience) 100%
  • Decision-Making Process 100%
  • Reinforcement Learning 33%

• Explore to Generalize in Zero-Shot RL

  Zisselman, E., Lavie, I., Soudry, D. & Tamar, A., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Behavior (Neuroscience) 100%
  • Reinforcement Learning 100%
  • Training Level 100%

• Exploring Cross-Project Building Performance Prediction: Creation and Implementation of a Zone-Based Surrogate Model for Building Performance Optimization

  Verkhovskiy, A., Yezioro, A. & Capeluto, I. G., 2023, In: Building Simulation Conference Proceedings. 18, p. 1328-1335 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Building Performance 100%
  • Surrogate Model 100%
  • Performance Prediction 100%
  • Design Parameter 25%
  • Architectural Design 25%

• Few-Sample Feature Selection via Feature Manifold Learning

  Cohen, D., Shnitzer, T., Kluger, Y. & Talmon, R., 2023, In: Proceedings of Machine Learning Research. 202, p. 6296-6319 24 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Manifold 100%
  • Feature Selection 100%
  • Illustrative Example 33%
  • Riemannian Geometry 33%
  • Test Data 33%
  1 Scopus citations

• Fine-Grained Distribution-Dependent Learning Curves

  Bousquet, O., Hanneke, S., Moran, S., Shafer, J. & Tolstikhin, I., 2023, In: Proceedings of Machine Learning Research. 195, p. 5890-5924 35 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Minimax 100%
  • target distribution π 100%
  • Number 33%
  • Asymptotics 33%
  • Refines 33%

• Fine-Tuning Generative Models as an Inference Method for Robotic Tasks

  Krupnik, O., Shafer, E., Jurgenson, T. & Tamar, A., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Deep Generative Model 100%
  • Generative Model 100%
  • Inference Method 100%
  • Tasks 100%
  • Point Cloud 50%

• Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond

  Kreisler, I., Nacson, M. S., Soudry, D. & Carmon, Y., 2023, In: Proceedings of Machine Learning Research. 202, p. 17684-17744 61 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Gradient Flow 100%
  • Regression Model 100%
  • Edge 75%
  • Neural Network 75%
  • Step Size 25%
  2 Scopus citations

• Guide to Teaching Data Science: An Interdisciplinary Approach

  Hazzan, O. & Mike, K., 2023, In: Olympiads in Informatics. 17, p. 189-205 17 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

• Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model

  Sudry, M., Jurgenson, T., Tamar, A. & Karpas, E., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Neural Network 100%
  • Uniform Sampling 50%
  • Dimensional Object 50%
  • Physical Simulation 50%

• Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

  Lin, Y. W. E., Coifman, R. R., Mishne, G. & Talmon, R., 2023, In: Proceedings of Machine Learning Research. 202, p. 21003-21025 23 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Hierarchical Data 100%
  • Representation Learning 100%
  • Embedding Data 100%
  • Hyperbolic Space 100%
  • Manifold 50%

• Insights into combustion and performance of HCCI engine fed with PODE₁and H₂-rich PODE₁-reformate

  Buntin, D. & Tartakovsky, L., 29 Sep 2023, In: SAE Technical Papers.

  Research output: Contribution to journal › Conference article › peer-review

  • Reformates 100%
  • Compression Ignition 42%
  • Internal Combustion Engine 28%
  • Waste Heat Recovery System 14%
  • Engine Performance 14%

• INTERACTION OF SOUND GENERATED BY A HIGH-FREQUENCY PARAMETRIC ARRAY WITH EXTERNALLY GENERATED LOWFREQUENCY SOUND

  Uzhansky, E., Friedlender, M. & Bucher, I., 2023, In: Underwater Acoustic Conference and Exhibition Series. p. 437-442 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Transducer 100%
  • Nonlinearity 50%
  • Single Channel 50%
  • Sound Source 50%
  • Ultrasonics 50%

• Learning Control by Iterative Inversion

  Leibovich, G., Jacob, G., Avner, O., Novik, G. & Tamar, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 19200-19227 28 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Supervised Learning 100%
  • Input/Output 100%
  • Desired Behavior 100%
  • Continuous Control 100%
  • Inverse Function 100%

• Learning Hidden Markov Models When the Locations of Missing Observations are Unknown

  Perets, B., Kozdoba, M. & Mannor, S., 2023, In: Proceedings of Machine Learning Research. 202, p. 27642-27667 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Hidden Markov Model 100%
  • Missing Observation 100%
  • reconstruction algorithm 12%
  • Observation Sequence 12%
  • Learning Algorithm 12%

• Learning to Initiate and Reason in Event-Driven Cascading Processes

  Atzmon, Y., Meirom, E. A., Mannor, S. & Chechik, G., 2023, In: Proceedings of Machine Learning Research. 202, p. 1218-1243 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Dynamic Environment 100%
  • Supervised Learning 100%
  • Tree Search 100%
  • Artificial Intelligence 100%
  • Physical Object 100%

• Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement

  Saig, E. & Rosenfeld, N., 2023, In: Proceedings of Machine Learning Research. 202, p. 29671-29696 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • User Engagement 100%
  • Synthetic Data 50%
  • Learning Algorithm 50%
  • Dynamical System 50%

• Meta-Learning Adversarial Bandit Algorithms

  Khodak, M., Osadchiy, I., Harris, K., Balcan, M. F., Levy, K. Y., Meir, R. & Wu, Z. S., 2023, In: Advances in Neural Information Processing Systems. 36

  Research output: Contribution to journal › Conference article › peer-review

  • Affine Function 100%
  • Similarity Measure 100%
  • Action Space 100%
  • Linear Optimization 100%
  • Multiple Task 50%

• Mitigating Skewed Bidding for Conference Paper Assignment

  Rozencweig, I., Meir, R., Mattei, N. & Amir, O., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 573-581 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Mechanical Turk 100%
  • Artificial Intelligence 100%
  • Peer Review Process 100%
  • Field Experiment 100%
  1 Scopus citations

• Model-X Sequential Testing for Conditional Independence via Testing by Betting

  Shaer, S., Maman, G. & Romano, Y., 2023, In: Proceedings of Machine Learning Research. 206, p. 2054-2086 33 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Sequential Testing 100%
  • Conditional Independence 100%
  • Sequential Test 66%
  • Statistical Hypothesis Testing 33%
  • Conditionals 33%
  1 Scopus citations

• Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI

  Shor, T., Weiss, T., Noti, D. & Bronstein, A., 2023, In: Proceedings of Machine Learning Research. 227, p. 1033-1050 18 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Acquisition Time 100%
  • Magnetic Resonance Imaging 100%
  • Image Reconstruction 66%
  • Compressed Sensing 33%
  • Deep Learning Technique 33%