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Alvaro Velasquez
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2020 – today
- 2024
- [j13]Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George K. Atia:
Controller synthesis for linear temporal logic and steady-state specifications. Auton. Agents Multi Agent Syst. 38(1): 17 (2024) - [j12]Alvaro Velasquez, Piotr Wojciechowski, K. Subramani, Matthew D. Williamson:
Arc-dependent networks: theoretical insights and a computational study. Ann. Oper. Res. 338(2): 1101-1126 (2024) - [j11]Piotr Wojciechowski, K. Subramani
, Alvaro Velasquez, Bugra Çaskurlu
:
Priority-based bin packing with subset constraints. Discret. Appl. Math. 342: 64-75 (2024) - [j10]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. 80: 719-803 (2024) - [j9]K. Subramani, Piotr Wojciechowki, Alvaro Velasquez:
Farkas Bounds on Horn Constraint Systems. Theory Comput. Syst. 68(2): 227-249 (2024) - [j8]Kamal Acharya
, Waleed Raza
, Carlos M. J. M. Dourado Júnior, Alvaro Velasquez
, Houbing Herbert Song
:
Neurosymbolic Reinforcement Learning and Planning: A Survey. IEEE Trans. Artif. Intell. 5(5): 1939-1953 (2024) - [j7]Ismail R. Alkhouri, Sumit Kumar Jha
, Andre Beckus
, George K. Atia
, Susmit Jha
, Rickard Ewetz, Alvaro Velasquez:
Exploring the Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences. IEEE Trans. Artif. Intell. 5(7): 3384-3392 (2024) - [c67]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Assume-Guarantee Reinforcement Learning. AAAI 2024: 21223-21231 - [c66]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents. AAMAS 2024: 1736-1744 - [c65]Calvin Nau, Prashant Sankaran, Moises Sudit, Payam Khazaelpour, Katie McConky, Alvaro Velasquez, Liise Kayler:
An Exploration of Optimizing Kidney Exchanges with Graph Machine Learning. CogSIMA 2024: 114-119 - [c64]Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez:
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. ICAPS 2024: 464-474 - [c63]Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. ICAPS 2024: 532-540 - [c62]Sangram Kishor Jena, K. Subramani, Alvaro Velasquez:
A Differential Approach for Several NP-hard Optimization Problems. ISAIM 2024: 68-80 - [i39]Justus Renkhoff, Ke Feng, Marc Meier-Doernberg, Alvaro Velasquez, Houbing Herbert Song:
A Survey on Verification and Validation, Testing and Evaluations of Neurosymbolic Artificial Intelligence. CoRR abs/2401.03188 (2024) - [i38]Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. CoRR abs/2402.03678 (2024) - [i37]Prathyush Poduval, Zhuowen Zou, Alvaro Velasquez, Mohsen Imani:
Hyperdimensional Quantum Factorization. CoRR abs/2406.11889 (2024) - [i36]Noah Topper, Alvaro Velasquez, George K. Atia:
Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards. CoRR abs/2406.13991 (2024) - [i35]Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez:
Dataless Quadratic Neural Networks for the Maximum Independent Set Problem. CoRR abs/2406.19532 (2024) - [i34]Walt Woods, Alexander Grushin, Simon Khan, Alvaro Velasquez:
Combining AI Control Systems and Human Decision Support via Robustness and Criticality. CoRR abs/2407.03210 (2024) - 2023
- [j6]Piotr Wojciechowski
, K. Subramani
, Alvaro Velasquez:
Reachability in choice networks. Discret. Optim. 48(Part 1): 100761 (2023) - [j5]Alvaro Velasquez, K. Subramani
, Piotr Wojciechowski
:
Reachability problems in interval-constrained and cardinality-constrained graphs. Discret. Math. Algorithms Appl. 15(4): 2250110:1-2250110:26 (2023) - [j4]Alvaro Velasquez, Ismail Alkhouri, K. Subramani
, Piotr Wojciechowski
, George K. Atia:
Optimal Deterministic Controller Synthesis from Steady-State Distributions. J. Autom. Reason. 67(1): 7 (2023) - [c61]Yue Wang
, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. AAAI 2023: 15215-15223 - [c60]Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. ICAPS 2023: 605-613 - [c59]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Distributed Optimization*. ACC 2023: 1307-1312 - [c58]Mohammad Afzal, Sankalp Gambhir, Ashutosh Gupta, S. Krishna, Ashutosh Trivedi, Alvaro Velasquez:
LTL-Based Non-Markovian Inverse Reinforcement Learning. AAMAS 2023: 2857-2859 - [c57]Jingxuan Zhu, Alvaro Velasquez, Ji Liu:
A Resilient Distributed Algorithm for Solving Linear Equations. CDC 2023: 381-386 - [c56]Sangram Kishor Jena, K. Subramani, Alvaro Velasquez:
Differentiable Discrete Optimization Using Dataless Neural Networks. COCOA (2) 2023: 3-15 - [c55]Stanley Bak
, Taylor Dohmen
, K. Subramani, Ashutosh Trivedi
, Alvaro Velasquez, Piotr Wojciechowski:
The Octatope Abstract Domain for Verification of Neural Networks. FM 2023: 454-472 - [c54]Wenkai Tan, Justus Renkhoff
, Alvaro Velasquez, Ziyu Wang, Lusi Li, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, Houbing Song
:
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. FUZZ 2023: 1-8 - [c53]Susmit Jha, Sumit Kumar Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Sandeep Neema
:
Dehallucinating Large Language Models Using Formal Methods Guided Iterative Prompting. ICAA 2023: 149-152 - [c52]Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal
, Qing Tian, Shuteng Niu:
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. ICDM (Workshops) 2023: 1186-1193 - [c51]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. ICML 2023: 36431-36469 - [c50]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
A Non-Targeted Attack Approach for the Coarse Misclassification Problem. IJCNN 2023: 1-7 - [c49]Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Alvaro Velasquez:
Neural SDEs for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions. MILCOM 2023: 655-660 - [c48]Sumit Kumar Jha, Susmit Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Rickard Ewetz, Sandeep Neema:
Counterexample Guided Inductive Synthesis Using Large Language Models and Satisfiability Solving. MILCOM 2023: 944-949 - [i33]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. CoRR abs/2301.00858 (2023) - [i32]Ismail Alkhouri, Sumit Kumar Jha, Andre Beckus, George K. Atia, Alvaro Velasquez, Rickard Ewetz, Arvind Ramanathan, Susmit Jha:
On the Robustness of AlphaFold: A COVID-19 Case Study. CoRR abs/2301.04093 (2023) - [i31]Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, Shuteng Niu:
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. CoRR abs/2303.04253 (2023) - [i30]Justus Renkhoff, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann, Houbing Song:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. CoRR abs/2303.06032 (2023) - [i29]Wenkai Tan, Justus Renkhoff
, Alvaro Velasquez, Ziyu Wang, Lusi Li
, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, Houbing Song:
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. CoRR abs/2303.06151 (2023) - [i28]Jingxuan Zhu, Alvaro Velasquez, Ji Liu:
A Resilient Distributed Algorithm for Solving Linear Equations. CoRR abs/2304.00373 (2023) - [i27]Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. CoRR abs/2304.05271 (2023) - [i26]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. CoRR abs/2305.10504 (2023) - [i25]Alexander Grushin, Walt Woods, Alvaro Velasquez, Simon Khan:
Safety Margins for Reinforcement Learning. CoRR abs/2307.13642 (2023) - [i24]Kamal Acharya
, Waleed Raza, Carlos M. J. M. Dourado Júnior, Alvaro Velasquez, Houbing Song:
Neurosymbolic Reinforcement Learning and Planning: A Survey. CoRR abs/2309.01038 (2023) - [i23]Abhinav Rajvanshi, Karan Sikka, Xiao Lin, Bhoram Lee, Han-Pang Chiu, Alvaro Velasquez:
SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments. CoRR abs/2309.04077 (2023) - [i22]Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Alvaro Velasquez:
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions. CoRR abs/2309.15386 (2023) - [i21]Sumit Kumar Jha, Susmit Jha, Patrick Lincoln, Nathaniel D. Bastian, Alvaro Velasquez, Rickard Ewetz, Sandeep Neema
:
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving. CoRR abs/2309.16436 (2023) - [i20]Jingxuan Zhu, Alec Koppel, Alvaro Velasquez, Ji Liu:
Byzantine-Resilient Decentralized Multi-Armed Bandits. CoRR abs/2310.07320 (2023) - [i19]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents. CoRR abs/2310.09454 (2023) - [i18]Suraj Singireddy, Andre Beckus, George K. Atia, Sumit Kumar Jha, Alvaro Velasquez:
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning. CoRR abs/2310.19137 (2023) - [i17]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Assume-Guarantee Reinforcement Learning. CoRR abs/2312.09938 (2023) - 2022
- [j3]Ismail R. Alkhouri
, George K. Atia, Alvaro Velasquez:
A differentiable approach to the maximum independent set problem using dataless neural networks. Neural Networks 155: 168-176 (2022) - [j2]Alvaro Velasquez, K. Subramani
, Piotr Wojciechowski
:
On the complexity of and solutions to the minimum stopping and trapping set problems. Theor. Comput. Sci. 915: 26-44 (2022) - [c47]Sumit Kumar Jha, Rickard Ewetz
, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha:
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations. AAAI 2022: 9567-9574 - [c46]Ismail R. Alkhouri, Stanley Bak, Alvaro Velasquez, George K. Atia:
On the Coarse Robustness of Classifiers. IEEECONF 2022: 569-573 - [c45]Taylor Dohmen, Noah Topper, George K. Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez:
Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning. ICAPS 2022: 574-582 - [c44]Noah Topper, George K. Atia, Ashutosh Trivedi, Alvaro Velasquez:
Active Grammatical Inference for Non-Markovian Planning. ICAPS 2022: 647-651 - [c43]Alvaro Velasquez, Brett Bissey, Lior Barak, Daniel Melcer, Andre Beckus, Ismail Alkhouri, George K. Atia:
Multi-Agent Tree Search with Dynamic Reward Shaping. ICAPS 2022: 652-661 - [c42]K. Subramani, Piotr Wojciechowski, Alvaro Velasquez:
New Results in Priority-Based Bin Packing. ALGOCLOUD 2022: 58-72 - [c41]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. ACC 2022: 3418-3422 - [c40]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Translating Omega-Regular Specifications to Average Objectives for Model-Free Reinforcement Learning. AAMAS 2022: 732-741 - [c39]Alvaro Velasquez, Ismail Alkhouri, Andre Beckus, Ashutosh Trivedi, George K. Atia:
Controller Synthesis for Omega-Regular and Steady-State Specifications. AAMAS 2022: 1310-1318 - [c38]Piotr Wojciechowski, K. Subramani, Alvaro Velasquez, Matthew D. Williamson:
On the Approximability of Path and Cycle Problems in Arc-Dependent Networks. CALDAM 2022: 292-304 - [c37]Piotr Wojciechowski, K. Subramani, Alvaro Velasquez:
Analyzing the Reachability Problem in Choice Networks. CPAIOR 2022: 408-423 - [c36]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
Synthesis of Adversarial Samples in Two-Stage Classifiers. ICASSP 2022: 4248-4252 - [c35]Sumit Kumar Jha, Alvaro Velasquez, Rickard Ewetz
, Laura Pullum, Susmit Jha:
ExplainIt!: A Tool for Computing Robust Attributions of DNNs. IJCAI 2022: 5916-5919 - [c34]Justus Renkhoff
, Wenkai Tan, Alvaro Velasquez, William Yichen Wang, Yongxin Liu, Jian Wang, Shuteng Niu, Lejla Begic Fazlic, Guido Dartmann
, Houbing Song
:
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. IPCCC 2022: 41-42 - [c33]Zenan Sun, Jingyi Su, Donghyun Jeon, Alvaro Velasquez, Houbing Song
, Shuteng Niu:
Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection. IPCCC 2022: 65-72 - [c32]Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A Differentiable Approach to the Maximum Independent Set Problem Using Graph-Based Neural Network Structures. MLSP 2022: 1-6 - [c31]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. MLSP 2022: 1-6 - [c30]Alvaro Velasquez, Ismail R. Alkhouri, Brett Bissey, Lior Barak, George K. Atia:
The Minimum Value State Problem in Actor-Critic Networks. MLSP 2022: 1-7 - [c29]Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou:
Data-Driven Robust Multi-Agent Reinforcement Learning. MLSP 2022: 1-6 - [i16]Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks. CoRR abs/2203.08209 (2022) - [i15]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Constrained Consensus over Complete Graphs via Feasibility Redundancy. CoRR abs/2203.14123 (2022) - [i14]Jingxuan Zhu, Yixuan Lin, Alvaro Velasquez, Ji Liu:
Resilient Distributed Optimization. CoRR abs/2209.13095 (2022) - 2021
- [j1]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Planning in Expected Reward Multichain MDPs. J. Artif. Intell. Res. 72: 1029-1082 (2021) - [c28]Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia:
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. AAAI 2021: 12015-12023 - [c27]Piotr Wojciechowski, K. Subramani, Alvaro Velasquez, Bugra Çaskurlu:
Algorithmic Analysis of Priority-Based Bin Packing. CALDAM 2021: 359-372 - [c26]Jing Wang, Elias Wilson, Alvaro Velasquez:
Consensus-Based Value Iteration for Multiagent Cooperative Control. CDC 2021: 6659-6664 - [c25]K. Subramani, Piotr Wojciechowski, Alvaro Velasquez:
On the Copy Complexity of Width 3 Horn Constraint Systems. FroCoS 2021: 63-78 - [c24]Sumit Kumar Jha, Rickard Ewetz
, Alvaro Velasquez, Susmit Jha:
On Smoother Attributions using Neural Stochastic Differential Equations. IJCAI 2021: 522-528 - [c23]Alvaro Velasquez, Sumit Kumar Jha
, Rickard Ewetz, Susmit Jha:
Automated Synthesis of Quantum Circuits Using Symbolic Abstractions and Decision Procedures. ISCAS 2021: 1-5 - [c22]Ismail R. Alkhouri, Alvaro Velasquez, George K. Atia:
Adversarial Perturbation Attacks on Nested Dichotomies Classification Systems. MLSP 2021: 1-6 - [i13]Alvaro Velasquez, Ashutosh Trivedi, Ismail Alkhouri, Andre Beckus, George K. Atia:
Controller Synthesis for Omega-Regular and Steady-State Specifications. CoRR abs/2106.02951 (2021) - [i12]Alvaro Velasquez, Andre Beckus, Taylor Dohmen, Ashutosh Trivedi, Noah Topper, George K. Atia:
Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes. CoRR abs/2107.04633 (2021) - [i11]Ismail Alkhouri, Alvaro Velasquez, George K. Atia:
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. CoRR abs/2108.02756 (2021) - [i10]Edward Verenich, Tobias Martin, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks. CoRR abs/2109.00573 (2021) - [i9]Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha:
Protein Folding Neural Networks Are Not Robust. CoRR abs/2109.04460 (2021) - 2020
- [c21]Alvaro Velasquez, Daniel Melcer:
Verification-Guided Tree Search. AAMAS 2020: 2026-2028 - [c20]Edward Verenich
, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. ICMLA 2020: 1402-1409 - [c19]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Steady-State Policy Synthesis in Multichain Markov Decision Processes. IJCAI 2020: 4069-4075 - [c18]Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. ISCAS 2020: 1-5 - [c17]Edward Verenich
, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain
:
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. OpML 2020 - [i8]Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. CoRR abs/2003.01538 (2020) - [i7]Christopher H. Bennett, T. Patrick Xiao, Can Cui, Naimul Hassan, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Alvaro Velasquez, Joseph S. Friedman, Matthew J. Marinella:
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning. CoRR abs/2003.02357 (2020) - [i6]Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain:
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes. CoRR abs/2003.04117 (2020) - [i5]Alvaro Velasquez, Christopher H. Bennett, Naimul Hassan, Wesley H. Brigner, Otitoaleke G. Akinola, Jean Anne C. Incorvia, Matthew J. Marinella, Joseph S. Friedman:
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture. CoRR abs/2003.11120 (2020) - [i4]Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain:
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. CoRR abs/2008.02866 (2020) - [i3]Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami:
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks. CoRR abs/2009.08097 (2020) - [i2]Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe García-Sánchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman:
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions. CoRR abs/2011.06075 (2020) - [i1]George K. Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez:
Verifiable Planning in Expected Reward Multichain MDPs. CoRR abs/2012.02178 (2020)
2010 – 2019
- 2019
- [c16]Mesut Ozdag, Sunny Raj, Steven Lawrence Fernandes, Alvaro Velasquez, Laura Pullum, Sumit Kumar Jha:
On the Susceptibility of Deep Neural Networks to Natural Perturbations. AISafety@IJCAI 2019 - [c15]Alvaro Velasquez:
Steady-State Policy Synthesis for Verifiable Control. IJCAI 2019: 5653-5661 - [c14]Alvaro Velasquez, Benjamin Shaia:
Spatially Efficient In-Memory Addition Through Destructive and Non-Destructive Operations. ISCAS 2019: 1-5 - 2018
- [c13]K. Subramani, Bugra Çaskurlu, Alvaro Velasquez:
Minimization of Testing Costs in Capacity-Constrained Database Migration. ALGOCLOUD 2018: 1-12 - [c12]Alvaro Velasquez, Sumit Kumar Jha
:
In-memory computing using paths-based logic and heterogeneous components. DATE 2018: 1512-1515 - [c11]Alvaro Velasquez, Sumit Kumar Jha
:
3D Crosspoint Memory as a Parallel Architecture for Computing Network Reachability. ICCD 2018: 171-178 - [c10]Alvaro Velasquez, K. Subramani, Steven L. Drager:
Finding Minimum Stopping and Trapping Sets: An Integer Linear Programming Approach. ISCO 2018: 402-415 - [c9]Alvaro Velasquez, Sumit Kumar Jha
:
Brief Announcement: Parallel Transitive Closure Within 3D Crosspoint Memory. SPAA 2018: 95-98 - 2017
- [c8]Alvaro Velasquez, Sumit Kumar Jha
:
Computation of Boolean matrix chain products in 3D ReRAM. ISCAS 2017: 1-4 - 2016
- [c7]Zahiruddin Alamgir
, Karsten Beckmann
, Nathaniel C. Cady
, Alvaro Velasquez, Sumit Kumar Jha
:
Flow-based computing on nanoscale crossbars: Design and implementation of full adders. ISCAS 2016: 1870-1873 - [c6]Alvaro Velasquez, Sumit Kumar Jha
:
Parallel boolean matrix multiplication in linear time using rectifying memristors. ISCAS 2016: 1874-1877 - [c5]Alvaro Velasquez, Piotr Wojciechowski
, K. Subramani
, Steven L. Drager, Sumit Kumar Jha
:
The cardinality-constrained paths problem: Multicast data routing in heterogeneous communication networks. NCA 2016: 126-130 - 2015
- [c4]Alvaro Velasquez, Sumit Kumar Jha
:
Fault-tolerant in-memory crossbar computing using quantified constraint solving. ICCD 2015: 101-108 - [c3]Alvaro Velasquez, Sumit Kumar Jha
:
Automated synthesis of crossbars for nanoscale computing using formal methods. NANOARCH 2015: 130-136 - 2014
- [c2]Faraz Hussain, Alvaro Velasquez, Emily Sassano, Sumit Kumar Jha
:
Putting humpty-dumpty together: Mining causal mechanistic biochemical models from big data. ICCABS 2014: 1-6 - [c1]Alvaro Velasquez, Sumit Kumar Jha
:
Parallel computing using memristive crossbar networks: Nullifying the processor-memory bottleneck. IDT 2014: 147-152
Coauthor Index
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Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-10 01:27 CEST by the dblp team
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