Princeton Language and Intelligence (PLI)

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  • 2021

    Making pre-trained language models better few-shot learners

    Gao, T., Fisch, A. & Chen, D., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3816-3830 15 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference; vol. 1).

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

    Open Access
    1064 Scopus citations
  • Multiclass Boosting and the Cost of Weak Learning

    Brukhim, N., Hazan, E., Moran, S., Mukherjee, I. & Schapire, R. E., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3057-3067 11 p. (Advances in Neural Information Processing Systems; vol. 4).

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

    11 Scopus citations
  • Near-Optimal Linear Regression under Distribution Shift

    Lei, Q., Hu, W. & Lee, J. D., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 6164-6174 11 p. (Proceedings of Machine Learning Research; vol. 139).

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

    18 Scopus citations
  • Near-Optimal Representation Learning for Linear Bandits and Linear RL

    Hu, J., Chen, X., Jin, C., Li, L. & Wang, L., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4349-4358 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

    33 Scopus citations
  • New Directions in Automated Traffic Analysis

    Holland, J., Schmitt, P., Feamster, N. & Mittal, P., Nov 13 2021, CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 3366-3383 18 p. (Proceedings of the ACM Conference on Computer and Communications Security).

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

    96 Scopus citations
  • Non-Parametric Few-Shot Learning for Word Sense Disambiguation

    Chen, H., Xia, M. & Chen, D., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1774-1781 8 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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

    Open Access
    8 Scopus citations
  • Online Control of Unknown Time-Varying Dynamical Systems

    Minasyan, E., Gradu, P., Simchowitz, M. & Hazan, E., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 15934-15945 12 p. (Advances in Neural Information Processing Systems; vol. 19).

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

    18 Scopus citations
  • On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method

    Zhang, J., Ni, C., Yu, Z., Szepesvari, C. & Wang, M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 2228-2240 13 p. (Advances in Neural Information Processing Systems; vol. 3).

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

    37 Scopus citations
  • On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)

    Li, Z., Malladi, S. & Arora, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 12712-12725 14 p. (Advances in Neural Information Processing Systems; vol. 16).

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

    37 Scopus citations
  • Optimal Gradient-based Algorithms for Non-concave Bandit Optimization

    Huang, B., Huang, K., Kakade, S. M., Lee, J. D., Lei, Q., Wang, R. & Yang, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 29101-29115 15 p. (Advances in Neural Information Processing Systems; vol. 35).

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

    8 Scopus citations
  • Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity

    Langlois, T. A., Zhao, H. C., Grant, E., Dasgupta, I., Griffiths, T. L. & Jacoby, N., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 27094-27106 13 p. (Advances in Neural Information Processing Systems; vol. 32).

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

    11 Scopus citations
  • PatchGuard: A provably robust defense against adversarial patches via small receptive fields and masking

    Xiang, C., Bhagoji, A. N., Sehwag, V. & Mittal, P., 2021, Proceedings of the 30th USENIX Security Symposium. USENIX Association, p. 2237-2254 18 p. (Proceedings of the 30th USENIX Security Symposium).

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

    97 Scopus citations
  • Phrase Retrieval Learns Passage Retrieval, Too

    Lee, J., Wettig, A. & Chen, D., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 3661-3672 12 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    30 Scopus citations
  • Predicting What You Already Know Helps: Provable Self-Supervised Learning

    Lee, J. D., Lei, Q., Saunshi, N. & Zhuo, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 309-323 15 p. (Advances in Neural Information Processing Systems; vol. 1).

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

    75 Scopus citations
  • PRGA: An open-source fpga research and prototyping framework

    Li, A. & Wentzlaff, D., Feb 17 2021, FPGA 2021 - 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. Association for Computing Machinery, Inc, p. 127-137 11 p. (FPGA 2021 - 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays).

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

    Open Access
    22 Scopus citations
  • Privacy policies over time: Curation and analysis of a million-document dataset

    Amos, R., Acar, G., Lucherini, E., Kshirsagar, M., Narayanan, A. & Mayer, J., Jun 3 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 2165-2176 12 p. (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).

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

    Open Access
    69 Scopus citations
  • Provable Meta-Learning of Linear Representations

    Tripuraneni, N., Jin, C. & Jordan, M. I., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 10434-10443 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

    94 Scopus citations
  • RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract)

    Teed, Z. & Deng, J., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4839-4843 5 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

    Open Access
    31 Scopus citations
  • RAFT-3D: Scene Flow using Rigid-Motion Embeddings

    Teed, Z. & Deng, J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 8371-8380 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
    102 Scopus citations
  • RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching

    Lipson, L., Teed, Z. & Deng, J., 2021, Proceedings - 2021 International Conference on 3D Vision, 3DV 2021. Institute of Electrical and Electronics Engineers Inc., p. 218-227 10 p. (Proceedings - 2021 International Conference on 3D Vision, 3DV 2021).

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

    Open Access
    308 Scopus citations
  • Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

    Yao, S., Narasimhan, K. & Hausknecht, M., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3097-3102 6 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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

    Open Access
    15 Scopus citations
  • Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline

    Goyal, A., Law, H., Liu, B., Newell, A. & Deng, J., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 3809-3820 12 p. (Proceedings of Machine Learning Research; vol. 139).

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

    165 Scopus citations
  • Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning

    Duan, Y., Jin, C. & Li, Z., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 2892-2902 11 p. (Proceedings of Machine Learning Research; vol. 139).

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

    17 Scopus citations
  • Safe Reinforcement Learning with Natural Language Constraints

    Yang, T. Y., Hu, M., Chow, Y., Ramadge, P. J. & Narasimhan, K., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 13794-13808 15 p. (Advances in Neural Information Processing Systems; vol. 17).

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

    16 Scopus citations
  • Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

    Bai, Y., Jin, C., Wang, H. & Xiong, C., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25799-25811 13 p. (Advances in Neural Information Processing Systems; vol. 31).

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

    36 Scopus citations
  • Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model

    Wang, B., Yan, Y. & Fan, J., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23009-23022 14 p. (Advances in Neural Information Processing Systems; vol. 28).

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

    8 Scopus citations
  • Security and Privacy Risks of Number Recycling at Mobile Carriers in the United States

    Lee, K. & Narayanan, A., 2021, Proceedings of the 2021 APWG Symposium on Electronic Crime Research, eCrime 2021. IEEE Computer Society, (eCrime Researchers Summit, eCrime; vol. 2021-December).

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

    8 Scopus citations
  • Self-attention networks can process bounded hierarchical languages

    Yao, S., Peng, B., Papadimitriou, C. & Narasimhan, K., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3770-3785 16 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference; vol. 1).

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

    Open Access
    42 Scopus citations
  • SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark

    Zhong, V., Hanjie, A. W., Wang, S., Narasimhan, K. & Zettlemoyer, L., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 21505-21519 15 p. (Advances in Neural Information Processing Systems; vol. 26).

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

    15 Scopus citations
  • SimCSE: Simple Contrastive Learning of Sentence Embeddings

    Gao, T., Yao, X. & Chen, D., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 6894-6910 17 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    1911 Scopus citations
  • Simple Entity-Centric Questions Challenge Dense Retrievers

    Sciavolino, C., Zhong, Z., Lee, J. & Chen, D., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 6138-6148 11 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    79 Scopus citations
  • Single-dataset Experts for Multi-dataset Question Answering

    Friedman, D., Dodge, B. & Chen, D., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 6128-6137 10 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    14 Scopus citations
  • Slice Sampling Reparameterization Gradients

    Zoltowski, D. M., Cai, D. & Adams, R. P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 23532-23544 13 p. (Advances in Neural Information Processing Systems; vol. 28).

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

    4 Scopus citations
  • Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient

    Hao, B., Duan, Y., Lattimore, T., Szepesvári, C. & Wang, M., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4063-4073 11 p. (Proceedings of Machine Learning Research; vol. 139).

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

    14 Scopus citations
  • Systematic evaluation of privacy risks of machine learning models

    Song, L. & Mittal, P., 2021, Proceedings of the 30th USENIX Security Symposium. USENIX Association, p. 2615-2632 18 p. (Proceedings of the 30th USENIX Security Symposium).

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

    224 Scopus citations
  • Tangent Space Backpropagation for 3D Transformation Groups

    Teed, Z. & Deng, J., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 10333-10342 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
    31 Scopus citations
  • TrustBoost: Boosting Trust among Interoperable Blockchains

    Sheng, P., Wang, X., Kannan, S., Nayak, K. & Viswanath, P., Nov 21 2021, CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, p. 1571-1584 14 p. (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

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

    Open Access
    6 Scopus citations
  • Universal Adversarial Attacks with Natural Triggers for Text Classification

    Song, L., Yu, X., Peng, H. T. & Narasimhan, K., 2021, NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3724-3733 10 p. (NAACL-HLT 2021 - 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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

    Open Access
    37 Scopus citations
  • Virtual classrooms and real harms: Remote learning at U.S. Universities

    Cohney, S., Teixeira, R., Kohlbrenner, A., Narayanan, A., Kshirsagar, M., Shvartzshnaider, Y. & Sanfilippo, M., 2021, Proceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021. USENIX Association, p. 653-673 21 p. (Proceedings of the 17th Symposium on Usable Privacy and Security, SOUPS 2021).

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

    20 Scopus citations
  • Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

    Ghosh, D., Rahme, J., Kumar, A., Zhang, A., Adams, R. P. & Levine, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25502-25515 14 p. (Advances in Neural Information Processing Systems; vol. 31).

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

    61 Scopus citations
  • 2020

    A general recurrent state space framework for modeling neural dynamics during decision-making

    Zoltowski, D. M., Pillow, J. W. & Linderman, S. W., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 11616-11627 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-15).

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

    15 Scopus citations
  • AIQL: Enabling efficient attack investigation from system monitoring data

    Gao, P., Xiao, X., Li, Z., Jee, K., Xu, F., Kulkarni, S. R. & Mittal, P., 2020, Proceedings of the 2018 USENIX Annual Technical Conference, USENIX ATC 2018. USENIX Association, p. 113-125 13 p. (Proceedings of the 2018 USENIX Annual Technical Conference, USENIX ATC 2018).

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

    48 Scopus citations
  • Amortized finite element analysis for fast PDE-constrained optimization

    Xue, T., Beatson, A., Adriaenssens, S. & Adams, R. P., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 10569-10578 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-14).

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

    16 Scopus citations
  • An empirical study of wireless carrier authentication for SIM swaps

    Lee, K., Kaiser, B., Mayer, J. & Narayanan, A., 2020, Proceedings of the 16th Symposium on Usable Privacy and Security, SOUPS 2020. USENIX Association, p. 61-80 20 p. (Proceedings of the 16th Symposium on Usable Privacy and Security, SOUPS 2020).

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

    39 Scopus citations
  • A sample complexity separation between non-convex and convex meta-learning

    Saunshi, N., Zhang, Y., Khodak, M. & Arora, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 8470-8479 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).

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

    11 Scopus citations
  • A Unified Framework of Surrogate Loss by Refactoring and Interpolation

    Liu, L., Wang, M. & Deng, J., 2020, Computer Vision – ECCV 2020 - 16th European Conference 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 278-293 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12348 LNCS).

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

    Open Access
    6 Scopus citations
  • Automated Design of FPGAs Facilitated by Cycle-Free Routing

    Li, A., Chang, T. J. & Wentzlaff, D., Aug 2020, Proceedings - 30th International Conference on Field-Programmable Logic and Applications, FPL 2020. Mentens, N., Mentens, N., Sousa, L., Trancoso, P., Pericas, M. & Sourdis, I. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 208-213 6 p. 9221519. (Proceedings - 30th International Conference on Field-Programmable Logic and Applications, FPL 2020).

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

    3 Scopus citations
  • BlockSci: Design and applications of a blockchain analysis platform

    Kalodner, H., Möser, M., Lee, K., Goldfeder, S., Plattner, M., Chator, A. & Narayanan, A., 2020, Proceedings of the 29th USENIX Security Symposium. USENIX Association, p. 2721-2738 18 p. (Proceedings of the 29th USENIX Security Symposium).

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

    105 Scopus citations
  • Boosting for control of dynamical systems

    Agarwal, N., Brukhim, N., Hazan, E. & Lu, Z., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 84-91 8 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-1).

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

    8 Scopus citations
  • BYOC: A "bring your own core" framework for heterogeneous-ISA research

    Balkind, J., Lim, K., Schaffner, M., Gao, F., Chirkov, G., Li, A., Lavrov, A., Nguyen, T. M., Fu, Y., Zaruba, F., Gulati, K., Benini, L. & Wentzlaff, D., Mar 9 2020, ASPLOS 2020 - 25th International Conference on Architectural Support for Programming Languages and Operating Systems. Association for Computing Machinery, p. 699-714 16 p. (International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS).

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

    Open Access
    36 Scopus citations