Dorsa sadigh

    Dorsa Sadigh studies Philosophy of Artificial Intelligence, Cognitive Semantics, and Embodied Conversational Agents (ECAs).

      • I never thought I would end up here. The first time I applied, I was rejected. I decided to travel instead. I had very little money at the time, so I started writing to make money. I spent three years traveling and writing stories about people I met on the road. I ended up publishing two books in the process. After this adventure I applied to Stanford again, and I was accepted.
      • 12/07/2013 ∙ by Dorsa Sadigh, et al. ∙ 0 ∙ share read it Finding sparse solutions of systems of polynomial equations via group-sparsity optimization
      • In the not-too-distant future, Americans will be sharing the road with self-driving cars. Companies are pouring billions of dollars into developing
      • Volume 60, Issue 1, January 2018 Special Issue: Selected Extended Papers of NFM 2016
      • Multi-Agent Generative Adversarial Imitation Learning Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon; Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn, Noah Snavely, Jonathan J. Tompson, Mohammad Norouzi
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    • Dorsa Sadigh is an assistant professor in Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the intersection of robotics, control theory, formal methods, and human-robot interaction.
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    • Wenchao Li, Dorsa Sadigh, S. Shankar Sastry, Sanjit Seshia. "Synthesis for Human-in-the-Loop Control Systems". 20th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), 5, April, 2014. BibTeX
      • [1] Dorsa Sadigh, Shanker Sastry, Sanjit A. Seshia, An-ca D. Dragan. Planning for Autonomous ars that Leverage Effects on Human Actions. In Proceedings of the Robotics: Science and Systems onference (RSS), June 2016. [2] Alexey Dosovitskiy, German Ros, Felipe odevilla, Antonio López, and Vladlen Koltun. ARLA: An open urban driving simulator.
      • Dorsa Sadigh, Shankar Sastry, Sanjit A. Seshia, and Anca D. Dragan, “Planning for Autonomous Cars that Leverage Effects on Human Actions.” Robotics: Science and Systems 2016. PDF Presenter: Tushar Kusnur. Week 7 (22 July 2019) L. Chan, D. Hadfield-Menell, S. Srinivasa and A. Dragan, “The Assistive Multi-Armed Bandit,” 2019.
      • Influencing Interactive Mixed-Autonomy Systems od. Dorsa Sadigh · 15. červen 2019 · 54 zhlédnutí · ICML 2019. Embed
      • Dorsa Sadigh. Assistant Professor. Computer Science, Electrical Engineering. In Iran, where I grew up, there are many female engineers and I never really doubted my ...
    • Generating this new kind of adversarial example, however, is challenging. It is clear that adding small noise is a valid mechanism for generating new images from a desired class—the label should not change if the perturbation is small enough.
    • Dorsa Sadigh's Academic Homepage.
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    • Dorsa Sadigh studies Philosophy of Artificial Intelligence, Cognitive Semantics, and Embodied Conversational Agents (ECAs).
    • Sadigh genealogy and family history facts. Find information about the Sadigh family, see the geographical distribution of the Sadigh last name. •Dorsa Sadigh Assistant Professor at Stanford University San Francisco Bay Area. Stanford University University of California, Berkeley Dorsa Ghahri ... •RSS 2016 Posters, with Gangyuan Jing, Rico Jonschkowski, Matthew Gombolay and Dorsa Sadigh. Cornell University Technical University of Berlin Massachusetts Institute of Technology University of...

      University of California, Berkeley. Department of Electrical Engineering and Computer Sciences. Dorsa Sadigh.

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    • 12/07/2013 ∙ by Dorsa Sadigh, et al. ∙ 0 ∙ share read it Finding sparse solutions of systems of polynomial equations via group-sparsity optimization •Dorsa Sadigh and Chelsea Finn Win the Best Paper Award at CORL 2020. Congratulations to Dorsa Sadigh, Chelsea Finn, and co-authors for winning the Best Paper Award at the 2020 Conference on Robot Learning for their paper “Learning Latent Representations to Influence Multi-Agent Interaction”.

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    • Jan 25, 2019 · Dorsa Sadigh is an assistant professor in Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the intersection of robotics, learning and control theory, and algorithmic human-robot interaction. •Dec 26, 2020 · Dorsa Sadigh, Stanford University. Blockchain Technology Session Co-chairs: Petr Novotny, IBM, and Elaine Shi, Cornell University. Introduction. Bitcoin and Beyond: Yesterday, Today, and the Next Ten Minutes Elaine Shi, Cornell University Blockchain Beyond Cryptocurrency Hong Wan, North Carolina State University The Economics of the Bitcoin ... •View and download Instagram stories, posts, images, photos and profiles on web, Search and view your favorite user profile and popular hashtag...

      Dorsa Sadigh's Homepage

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    • See what Dorsa Eydizade (dorsa01) has discovered on Pinterest, the world's biggest collection of ideas. Dorsa Eydizade. 82 Followers. • 86 Following.•Vasumathi Raman, Alexandre Donze, Dorsa Sadigh, Richard M. Murray and Sanjit A. Seshia 2015 International Conference on Hybrid Systems: Computation and Control (HSCC) We present a counterexample-guided inductive synthesis approach to controller synthesis for cyber-physical systems subject to signal temporal logic (STL) specifications, operating ...

      John Mern, Dorsa Sadigh, and Mykel J. Kochenderfer Abstract—Poor sample efficiency is a major limitation of deep reinforcement learning in many domains. This work presents an attention-based method to project neural network inputs into an efficient representation space that is invariant under changes to input ordering. We show that our proposed

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    View Saima Afroze’s profile on LinkedIn, the world’s largest professional community. Saima has 1 job listed on their profile. See the complete profile on LinkedIn and discover Saima’s connections and jobs at similar companies.

    Synthesis with Clairvoyance Orna Kupferman Dorsa Sadigh and Sanjit A PowerPoint Presentation - Seshia Hebrew University School of Engineering and Computer Science Jerusalem Israel UC Berkeley EECS department Berkeley CA USA Abstract We consider the problem of automatically synthesizing from a linear temporal logic LTL speci64257cation a syste ID: 41778 Download Pdf

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    Our goal is to train a policy for autonomous driving via imitation learning that is robust enough to drive a real vehicle. We find that standard behavior cloning is insufficient for handling complex driving scenarios, even when we leverage a perception system for preprocessing the input and a controller for executing the output on the car: 30 million examples are still not enough.

    Oct 11, 2018 · S. Shankar Sastry, Dorsa Sadigh, Nick Landolfi, Sanjit Seshia, and Anca Dragan For ...

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    Dec 23, 2020 · Clark W. Barrett, Jin Yang: 2019 Formal Methods in Computer Aided Design, FMCAD 2019, San Jose, CA, USA, October 22-25, 2019. IEEE 2019, ISBN 978-0-9835678-9-9

    Machine learning and control theory have made substantial advances in the field of robotics in the past decade. However, there are still many challenges when studying robots interacting with humans. Dorsa Sadigh continues the mediaX webinar series "Thinking Tools for Wicked Problems", and will discuss her insights on this issue.

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    Dorsa Sadigh (Assistant Professor) Manage my profile. dorsa. @cs.stanford: Currently teaching. CS 221: Artificial Intelligence: Principles and Techniques (Autumn)

    Multi-Agent Generative Adversarial Imitation Learning Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon Proc. 32nd Annual Conference on Neural Information Processing Systems...

    09:30-10:00: Influencing Interactive Mixed-Autonomy Systems, Dorsa Sadigh (Stanford University) 10:00-10:30: From Optimization Algorithms to Continuous Dynamical Systems and Back, Rene Vidal (Johns Hopkins University) 10:30-11:00: Coffee Break

    Generating this new kind of adversarial example, however, is challenging. It is clear that adding small noise is a valid mechanism for generating new images from a desired class—the label should not change if the perturbation is small enough.

    Prof. Dorsa Sadigh, Stanford Computer Science Prof. Marco Pavone, Stanford Computer Science Peter Marcotullio, Vice President, SRI International Module Content Goal Proposed Speaker 1 08:00-08:10 2 08:10-09:00 3 09:00-10:00 10:00-10:15 4 10:15-11:00 5 11:00-12:00 6 7 01:00-01:30 Commercially-driven urban digitalization. An upbeat look at how

    @NPR: "These cars are OK driving in normal driving conditions," engineer Dorsa Sadigh says. However, driving alongside humans can present complicated situations.

    RSS 2016 Posters, with Gangyuan Jing, Rico Jonschkowski, Matthew Gombolay and Dorsa Sadigh. Cornell University Technical University of Berlin Massachusetts Institute of Technology University of...

    2:30p - 5:30p GB EECS Special Seminar - Dorsa Sadigh Nancy Lynch/Saman Amarasinghe Seminar 2:30p - 4:00p HQ2 Boning Group Meeting Duane Boning Group Meeting 3:00 PM

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    Engineering Library Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior Sadigh, Dorsa Author Campbell, Katherine Driggs Author Puggelli, Alberto Alessandro Angelo Author Li, Wenchao Author Shia, Victor Author Bajcsy, Ruzena Author Sangiovanni-Vincentelli, Alberto L. Author Sastry, S. Shankar Author Seshia, Sanjit A. Author text technical reports University of ...

    Sadigh, Dorsa degree committee member. Stanford University. Department of Aeronautics and Astronautics. Prof. Sadigh's office hours are on Fridays 9:00am to 10:00am, after class, and by appointment, in Gates 142. CA office hours are on Tuesdays from 10:00am to 12:00pm and Fridays from 3:00pm to 5:00pm in Durand 023; and on Mondays from 09:00am to 10:00am online for SCPD students.

    According to our current on-line database, S. Shankar Sastry has 59 students and 334 descendants. We welcome any additional information. If you have additional information or corrections regarding this mathematician, please use the update form.

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    RSS 2016 Posters, with Gangyuan Jing, Rico Jonschkowski, Matthew Gombolay and Dorsa Sadigh. Cornell University Technical University of Berlin Massachusetts Institute of Technology University of...

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