School of Computer Science

Research output

Research output per year 2011 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2024

• 256410 Citations
• 212 h-index
• 1438 Conference contribution
• 1034 Article
• 210 Conference article
• 82 Paper
• 137 More
  • 35 Editorial
  • 34 Chapter
  • 27 Review article
  • 17 Book
  • 14 Comment/debate
  • 4 Letter
  • 2 Entry for encyclopedia/dictionary
  • 1 Report
  • 1 Meeting Abstract
  • 1 Short survey
  • 1 Discussion paper

Research output per year

Research output per year

Search results

• 2024

  A 2-DIMENSIONAL STATE SPACE LAYER FOR SPATIAL INDUCTIVE BIAS

  Baron, E., Zimerman, I. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• A FOUNDATION MODEL FOR ERROR CORRECTION CODES

  Choukroun, Y. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions

  Carmon, Y., Jambulapati, A., Jin, Y. & Sidford, A., 2024, p. 3685-3723. 39 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Matrix Game 100%
  • Smooth function 63%
  • Game 55%
  • Ball 54%
  • Oracle 48%

• Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?

  Intrator, Y., Halfon, M., Goldenberg, R., Tsarfaty, R., Eyal, M., Rivlin, E., Matias, Y. & Aizenberg, N., 2024, p. 829-844. 16 p.

  Bar-Ilan University, Tel Aviv University, Open University of Israel, Technion - Israel Institute of Technology

  Research output: Contribution to conference › Paper › peer-review

• Combinatorial Contracts Beyond Gross Substitutes

  Dütting, P., Feldman, M. & Tzur, Y. G., 2024, p. 92-108. 17 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Substitute 100%
  • Gross 95%
  • Reward 82%
  • Critical value 55%
  • Costs 53%

• DYNAMIC LAYER TYING FOR PARAMETER-EFFICIENT TRANSFORMERS

  David-Hay, T. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• HUMAN MOTION DIFFUSION AS A GENERATIVE PRIOR

  Shafir, Y., Tevet, G., Kapon, R. & Bermano, A. H., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• MAKING RETRIEVAL-AUGMENTED LANGUAGE MODELS ROBUST TO IRRELEVANT CONTEXT

  Yoran, O., Wolfson, T., Ram, O. & Berant, J., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• Nearly Optimal Approximate Dual-Failure Replacement Paths

  Chechik, S. & Zhang, T., 2024, p. 2568-2596. 29 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Replacement 100%
  • Path 68%
  • Directed graphs 38%
  • Digraph 37%
  • Shortest path 21%

• Near-Optimal Min-Sum Motion Planning for Two Square Robots in a Polygonal Environment

  Agarwal, P. K., Halperin, D., Sharir, M. & Steiger, A., 2024, p. 4942-4962. 21 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Motion Planning 100%
  • Robot 90%
  • Motion planning 70%
  • Approximation algorithms 53%
  • Robots 47%

• Never Train from Scratch: FAIR COMPARISON OF LONG-SEQUENCE MODELS REQUIRES DATA-DRIVEN PRIORS

  Amos, I., Berant, J. & Gupta, A., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• NOISE-FREE SCORE DISTILLATION

  Katzir, O., Patashnik, O., Cohen-Or, D. & Lischinski, D., 2024.

  Tel Aviv University, The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper › peer-review

• SEPARATE AND DIFFUSE: USING A PRETRAINED DIFFUSION MODEL FOR BETTER SOURCE SEPARATION

  Lutati, S., Nachmani, E. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• SINGLE MOTION DIFFUSION

  Raab, S., Leibovitch, I., Tevet, G., Arar, M., Bermano, A. H. & Cohen-Or, D., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• THE HIDDEN LANGUAGE OF DIFFUSION MODELS

  Chefer, H., Lang, O., Geva, M., Polosukhin, V., Shocher, A., Irani, M., Mosseri, I. & Wolf, L., 2024.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• Tight approximability of MAX 2-SAT and relatives, under UGC

  Brakensiek, J., Huang, N. & Zwick, U., 2024, p. 1328-1344. 17 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Approximability 100%
  • Approximation algorithms 93%
  • Game 69%
  • Approximation Algorithms 37%
  • Modulo 35%

• Vertical Decomposition in 3D and 4D with Applications to Line Nearest-Neighbor Searching in 3D

  Agarwal, P. K., Ezra, E. & Sharir, M., 2024, p. 150-170. 21 p.

  Tel Aviv University, Bar-Ilan University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Nearest Neighbor 100%
  • Vertical 88%
  • Semi-algebraic Sets 70%
  • Decomposition 69%
  • Query 67%
• 2023

  AN IMAGE IS WORTH ONE WORD: PERSONALIZING TEXT-TO-IMAGE GENERATION USING TEXTUAL INVERSION

  Gal, R., Alaluf, Y., Atzmon, Y., Patashnik, O., Bermano, A. H., Chechik, G. & Cohen-Or, D., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• DECISION S4: EFFICIENT SEQUENCE-BASED RL VIA STATE SPACE LAYERS

  Bar-David, S., Zimerman, I., Nachmani, E. & Wolf, L., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• DENOISING DIFFUSION ERROR CORRECTION CODES

  Choukroun, Y. & Wolf, L., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• HUMAN MOTION DIFFUSION MODEL

  Tevet, G., Raab, S., Gordon, B., Shafir, Y., Cohen-Or, D. & Bermano, A. H., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• LEARNING LOW DIMENSIONAL STATE SPACES WITH OVERPARAMETERIZED RECURRENT NEURAL NETS

  Cohen-Karlik, E., Menuhin-Gruman, I., Giryes, R., Cohen, N. & Globerson, A., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• MALIGN OVERFITTING: INTERPOLATION CAN PROVABLY PRECLUDE INVARIANCE

  Wald, Y., Yona, G., Shalit, U. & Carmon, Y., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• NERN - LEARNING NEURAL REPRESENTATIONS FOR NEURAL NETWORKS

  Ashkenazi, M., Rimon, Z., Vainshtein, R., Levi, S., Richardson, E., Mintz, P. & Treister, E., 1 Jan 2023.

  Ben-Gurion University of the Negev, Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• PROMPT-TO-PROMPT IMAGE EDITING WITH CROSS-ATTENTION CONTROL

  Hertz, A., Mokady, R., Tenenbaum, J., Aberman, K., Pritch, Y. & Cohen-Or, D., 2023.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review
• 2022

  ANOMALY DETECTION FOR TABULAR DATA WITH INTERNAL CONTRASTIVE LEARNING

  Shenkar, T. & Wolf, L., 2022.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Contrastive 100%
  • Anomaly detection 91%
  • Anomaly 87%
  • learning 30%
  • Mutual Information 18%

• Describing Sets of Images with Textual-PCA

  Hupert, O., Schwartz, I. & Wolf, L., 2022, p. 3840-3850. 11 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  • Semantic Similarity 100%
  • Semantics 88%
  • Similarity 88%
  • Principle Component Analysis 86%
  • Set theory 83%

• Inferring Implicit Relations in Complex Questions with Language Models

  Katz, U., Geva, M. & Berant, J., 2022, p. 2548-2566. 19 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Language Model 100%
  • Implicit Relation 88%
  • Reasoning 59%
  • Question Answering 19%
  • Model 9%

• Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments

  Ivgi, M., Carmon, Y. & Berant, J., 2022, p. 7383-7400. 18 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Microscope 100%
  • Scaling Laws 90%
  • Transformer 90%
  • Scaling laws 88%
  • Microscopes 66%

• SCROLLS: Standardized CompaRison Over Long Language Sequences

  Shaham, U., Segal, E., Ivgi, M., Efrat, A., Yoran, O., Haviv, A., Gupta, A., Xiong, W., Geva, M., Berant, J. & Levy, O., 2022, p. 12007-12021. 15 p.

  Bar-Ilan University, Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

• STYLEALIGN: ANALYSIS AND APPLICATIONS OF ALIGNED STYLEGAN MODELS

  Wu, Z., Nitzan, Y., Shechtman, E. & Lischinski, D., 2022.

  The Hebrew University of Jerusalem, Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Tuning 100%
  • Morphing 63%
  • Religious buildings 60%
  • Human Face 56%
  • Transfer learning 51%

• Text-Only Training for Image Captioning using Noise-Injected CLIP

  Nukrai, D., Mokady, R. & Globerson, A., 2022, p. 4084-4092. 9 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Training 100%
  • Text 88%
  • Encoder 31%
  • Injection 26%
  • Vision 24%

• Unobserved Local Structures Make Compositional Generalization Hard

  Bogin, B., Gupta, S. & Berant, J., 2022, p. 2731-2747. 17 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Local Structure 100%
  • Training 52%
  • Generalization 41%
  • Decision Rules 40%
  • Semantics 28%

• UNSUPERVISED DISENTANGLEMENT WITH TENSOR PRODUCT REPRESENTATIONS ON THE TORUS

  Rotman, M., Dekel, A., Gur, S., Oz, Y. & Wolf, L., 2022.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Tensors 100%
  • Informativeness 36%
  • Experiments 35%
  • Completeness 28%
  • Generative 25%
• 2021

  An Optimization and Generalization Analysis for Max-Pooling Networks

  Brutzkus, A. & Globerson, A., 2021, p. 1650-1660. 11 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Pooling 100%
  • Architecture 83%
  • Parameterization 80%
  • Deep learning 67%
  • Computer vision 63%

• FIDELITY-BASED DEEP ADIABATIC SCHEDULING

  Ovits, E. & Wolf, L., 2021.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • scheduling 100%
  • Fidelity 98%
  • Scheduling 62%
  • Quantum Computation 46%
  • Decoherence 44%

• Learning Query Expansion over the Nearest Neighbor Graph

  Klein, B. & Wolf, L., 2021.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Agglomeration 100%

• MULTIMODALQA: COMPLEX QUESTION ANSWERING OVER TEXT, TABLES AND IMAGES

  Talmor, A., Yoran, O., Catav, A., Lahav, D., Wang, Y., Asai, A., Ilharco, G., Hajishirzi, H. & Berant, J., 2021.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Complex Question 100%
  • Question Answering 65%
  • Modality 43%
  • Wikipedia 34%
  • Formal languages 31%

• On Random Kernels of Residual Architectures

  Littwin, E., Galanti, T. & Wolf, L., 2021, p. 897-907. 11 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Architecture 100%
  • Tangent line 68%
  • kernel 61%
  • Experiments 32%
  • Tend 27%
• 2020

  A CONSTRUCTIVE PREDICTION OF THE GENERALIZATION ERROR ACROSS SCALES

  Rosenfeld, J. S., Rosenfeld, A., Belinkov, Y. & Shavit, N., 2020.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Prediction 100%
  • Neural Networks 46%
  • neural network 41%
  • Scaling 25%
  • Neural networks 21%

• END TO END TRAINABLE ACTIVE CONTOURS VIA DIFFERENTIABLE RENDERING

  Gur, S., Shaharabany, T. & Wolf, L., 2020.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Segmentation 100%
  • Medical imaging 97%
  • segmentation 95%
  • Image segmentation 81%
  • Masks 81%

• Learning rules-first classifiers

  Cohen, D., Daniely, A., Globerson, A. & Elidan, G., 2020.

  Tel Aviv University, The Hebrew University of Jerusalem

  Research output: Contribution to conference › Paper › peer-review

  • Rule Learning 100%
  • Classifier 74%
  • Efficient Algorithms 56%
  • Classifiers 46%
  • Sentiment Analysis 42%

• MASK BASED UNSUPERVISED CONTENT TRANSFER

  Mokady, R., Benaim, S., Wolf, L. & Bermano, A., 2020.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Mask 100%
  • Masks 94%
  • Labels 85%
  • Semantics 68%
  • segmentation 37%

• OPTIMAL STRATEGIES AGAINST GENERATIVE ATTACKS

  Mor, R., Peterfreund, E., Gavish, M. & Globerson, A., 2020.

  The Hebrew University of Jerusalem, Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Generative 100%
  • Attack 74%
  • Authentication 56%
  • Critical infrastructures 40%
  • Information theory 38%

• Towards Autonomous, Hands-Free Data Exploration

  Bar El, O., Milo, T. & Somech, A., 2020.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Exploratory Data Analysis 100%
  • System Architecture 42%
  • Prototype 33%
  • Paradigm 23%

• Unknown mixing times in apprenticeship and reinforcement learning

  Zahavy, T., Cohen, A., Kaplan, H. & Mansour, Y., 2020, p. 430-439. 10 p.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Reinforcement learning 100%
  • Markov chains 32%
  • Learning algorithms 27%
  • Sampling 23%

• VID2GAME: CONTROLLABLE CHARACTERS EXTRACTED FROM REAL-WORLD VIDEOS

  Gafni, O., Wolf, L. & Taigman, Y., 2020.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Real World 100%
  • video 78%
  • Person 57%
  • human being 55%
  • Athletes 41%
• 2019

  A convergence analysis of gradient descent for deep linear neural networks

  Arora, S., Golowich, N., Cohen, N. & Hu, W., 2019.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • neural network 100%
  • Descent 81%
  • Neural Networks 80%
  • Neural networks 50%
  • Layer 16%

• A universal music translation network

  Mor, N., Wolf, L., Polyak, A. & Taigman, Y., 2019.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Musical instruments 100%
  • music 60%
  • Translating 43%
  • Music 43%
  • Musicians 33%

• Emerging disentanglement in auto-encoder based unsupervised image content transfer

  Press, O., Galanti, T., Benaim, S. & Wolf, L., 2019.

  Tel Aviv University

  Research output: Contribution to conference › Paper › peer-review

  • Glass 100%
  • reconstruction 27%
  • Translation Method 18%
  • human being 16%
  • Reference 16%