• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 82 matches

• 2024
• 
  Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
  Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR 2024
• 
  Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
  Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. ICLR 2024
• 
  Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
  Large Scale Dataset Distillation with Domain Shift. ICML 2024
• 
  Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita:
  State-Free Inference of State-Space Models: The *Transfer Function* Approach. ICML 2024
• 
  Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu:
  Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA 2024: 15106-15112
• 
  Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus:
  Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA 2024: 2774-2782
• 
  Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu:
  Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR abs/2401.08602 (2024)
• 
  Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli:
  State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR abs/2405.06147 (2024)
• 2023
• 
  Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger:
  Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. IEEE Robotics Autom. Lett. 8(3): 1595-1602 (2023)
• 
  Makram Chahine, Ramin M. Hasani, Patrick Kao, Aaron Ray, Ryan Shubert, Mathias Lechner, Alexander Amini, Daniela Rus:
  Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics 8(77) (2023)
• 
  Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus:
  Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks. AAAI 2023: 14964-14973
• 
  Dorde Zikelic, Mathias Lechner, Thomas A. Henzinger, Krishnendu Chatterjee:
  Learning Control Policies for Stochastic Systems with Reach-Avoid Guarantees. AAAI 2023: 11926-11935
• 
  Matin Ansaripour, Krishnendu Chatterjee, Thomas A. Henzinger, Mathias Lechner, Dorde Zikelic:
  Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems. ATVA (1) 2023: 357-379
• 
  Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
  Liquid Structural State-Space Models. ICLR 2023
• 
  Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus:
  On the Forward Invariance of Neural ODEs. ICML 2023: 38100-38124
• 
  Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
  Dataset Distillation with Convexified Implicit Gradients. ICML 2023: 22649-22674
• 
  Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
  Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA 2023: 3576-3583
• 
  Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus:
  Towards Cooperative Flight Control Using Visual-Attention. IROS 2023: 6334-6341
• 
  Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus:
  Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS 2023
• 
  Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
  On the Size and Approximation Error of Distilled Datasets. NeurIPS 2023
• 
  Dorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger:
  Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees. NeurIPS 2023
• 
  Krishnendu Chatterjee, Thomas A. Henzinger, Mathias Lechner, Dorde Zikelic:
  A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems. TACAS (1) 2023: 3-25
• 
  Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
  Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR abs/2302.01428 (2023)
• 
  Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
  Dataset Distillation with Convexified Implicit Gradients. CoRR abs/2302.06755 (2023)
• 
  Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus:
  Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR abs/2303.12224 (2023)
• 
  Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
  On the Size and Approximation Error of Distilled Sets. CoRR abs/2305.14113 (2023)
• 
  Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
  Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR abs/2310.03915 (2023)
• 
  Dorde Zikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas A. Henzinger:
  Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees. CoRR abs/2312.01456 (2023)
• 2022
• 
  Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus:
  Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(11): 992-1003 (2022)
• 
  Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus:
  Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(12): 1267 (2022)

skipping 52 more matches