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Tommaso Dreossi
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2020 – today
- 2023
- [j6]Daniel J. Fremont
, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
:
Scenic: a language for scenario specification and data generation. Mach. Learn. 112(10): 3805-3849 (2023) - [c22]Eric Vin
, Shun Kashiwa
, Matthew Rhea, Daniel J. Fremont
, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CAV (1) 2023: 253-265 - [i11]Eric Vin, Shun Kashiwa, Matthew Rhea, Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
3D Environment Modeling for Falsification and Beyond with Scenic 3.0. CoRR abs/2307.03325 (2023) - 2022
- [j5]Alberto Casagrande
, Thao Dang, Luca Dorigo, Tommaso Dreossi, Carla Piazza
, Eleonora Pippia:
Parameter synthesis of polynomial dynamical systems. Inf. Comput. 289(Part): 104941 (2022) - [c21]Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson
:
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. SDM 2022: 217-225 - 2021
- [i10]Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson:
IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance. CoRR abs/2110.07460 (2021) - 2020
- [j4]Sanjit A. Seshia
, Somesh Jha, Tommaso Dreossi:
Semantic Adversarial Deep Learning. IEEE Des. Test 37(2): 8-18 (2020) - [c20]Parth Gupta, Tommaso Dreossi, Jan Bakus, Yu-Hsiang Lin, Vamsi Salaka:
Treating Cold Start in Product Search by Priors. WWW (Companion Volume) 2020: 77-78 - [c19]Tommaso Dreossi, Giorgio Ballardin, Parth Gupta, Jan Bakus, Yu-Hsiang Lin, Vamsi Salaka:
Analysis of E-commerce Ranking Signals via Signal Temporal Logic. SNR 2020: 33-42 - [i9]Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: A Language for Scenario Specification and Data Generation. CoRR abs/2010.06580 (2020)
2010 – 2019
- 2019
- [j3]Tommaso Dreossi, Alexandre Donzé, Sanjit A. Seshia:
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components. J. Autom. Reason. 63(4): 1031-1053 (2019) - [c18]Tommaso Dreossi, Daniel J. Fremont
, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
VerifAI: A Toolkit for the Formal Design and Analysis of Artificial Intelligence-Based Systems. CAV (1) 2019: 432-442 - [c17]Daniel J. Fremont
, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: a language for scenario specification and scene generation. PLDI 2019: 63-78 - [p1]Thao Dang, Tommaso Dreossi, Eric Fanchon, Oded Maler, Carla Piazza
, Alexandre Rocca:
Set-Based Analysis for Biological Modeling. Automated Reasoning for Systems Biology and Medicine 2019: 157-189 - [i8]Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Hadi Ravanbakhsh, Marcell Vazquez-Chanlatte, Sanjit A. Seshia:
VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems. CoRR abs/1902.04245 (2019) - [i7]Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
A Formalization of Robustness for Deep Neural Networks. CoRR abs/1903.10033 (2019) - 2018
- [c16]Sanjit A. Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue:
Formal Specification for Deep Neural Networks. ATVA 2018: 20-34 - [c15]Tommaso Dreossi, Somesh Jha, Sanjit A. Seshia:
Semantic Adversarial Deep Learning. CAV (1) 2018: 3-26 - [c14]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. IJCAI 2018: 2071-2078 - [i6]Tommaso Dreossi, Somesh Jha, Sanjit A. Seshia:
Semantic Adversarial Deep Learning. CoRR abs/1804.07045 (2018) - [i5]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. CoRR abs/1805.06962 (2018) - [i4]Daniel J. Fremont, Xiangyu Yue, Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Scenic: Language-Based Scene Generation. CoRR abs/1809.09310 (2018) - 2017
- [j2]Tommaso Dreossi, Thao Dang, Carla Piazza
:
Reachability computation for polynomial dynamical systems. Formal Methods Syst. Des. 50(1): 1-38 (2017) - [c13]Thao Dang, Tommaso Dreossi:
Temporal specification testing of hybrid systems. CASE 2017: 1338-1343 - [c12]Tommaso Dreossi:
Sapo: Reachability Computation and Parameter Synthesis of Polynomial Dynamical Systems. HSCC 2017: 29-34 - [c11]Tommaso Dreossi, Alexandre Donzé, Sanjit A. Seshia:
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components. NFM 2017: 357-372 - [c10]Ankush Desai, Tommaso Dreossi, Sanjit A. Seshia:
Combining Model Checking and Runtime Verification for Safe Robotics. RV 2017: 172-189 - [i3]Tommaso Dreossi, Alexandre Donzé, Sanjit A. Seshia:
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components. CoRR abs/1703.00978 (2017) - [i2]Tommaso Dreossi, Shromona Ghosh, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Systematic Testing of Convolutional Neural Networks for Autonomous Driving. CoRR abs/1708.03309 (2017) - 2016
- [b1]Tommaso Dreossi:
Reachability Computation and Parameter Synthesis for Polynomial Dynamical Systems. University of Udine, Italy, 2016 - [c9]Tommaso Dreossi, Thao Dang, Carla Piazza
:
Parallelotope Bundles for Polynomial Reachability. HSCC 2016: 297-306 - [i1]Tommaso Dreossi:
Sapo: Reachability Computation and Parameter Synthesis of Polynomial Dynamical Systems. CoRR abs/1607.02200 (2016) - 2015
- [c8]Thao Dang, Tommaso Dreossi, Carla Piazza
:
Parameter Synthesis Through Temporal Logic Specifications. FM 2015: 213-230 - [c7]Tommaso Dreossi, Thao Dang, Alexandre Donzé, James Kapinski, Xiaoqing Jin, Jyotirmoy V. Deshmukh:
Efficient Guiding Strategies for Testing of Temporal Properties of Hybrid Systems. NFM 2015: 127-142 - 2014
- [j1]Alberto Casagrande
, Tommaso Dreossi, Jana Fabriková, Carla Piazza
:
ϵ-Semantics computations on biological systems. Inf. Comput. 236: 35-51 (2014) - [c6]Thao Dang, Tommaso Dreossi, Carla Piazza
:
Parameter Synthesis Using Parallelotopic Enclosure and Applications to Epidemic Models. HSB 2014: 67-82 - [c5]Tommaso Dreossi, Thao Dang:
Parameter synthesis for polynomial biological models. HSCC 2014: 233-242 - 2013
- [c4]Alberto Casagrande
, Tommaso Dreossi:
pyHybrid Analysis: A Package for Semantics Analysis of Hybrid Systems. DSD 2013: 815-818 - [c3]Alberto Casagrande
, Tommaso Dreossi, Carla Piazza
:
Approximated Symbolic Computations over Hybrid Automata. HAS 2013: 43-57 - [c2]Thao Dang, Tommaso Dreossi:
Falsifying Oscillation Properties of Parametric Biological Models. HSB 2013: 53-67 - 2012
- [c1]Alberto Casagrande, Tommaso Dreossi, Carla Piazza
:
Hybrid Automata and ε-Analysis on a Neural Oscillator. HSB 2012: 58-72
Coauthor Index
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