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2020 – today
- 2024
[j15]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)- [j14]Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
PATH: Evaluation of Boolean Logic Using Path-Based In-Memory Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1387-1400 (2024) - [c58]Chase Walker, Sumit Kumar Jha, Kenny Chen, Rickard Ewetz:
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision. AAAI 2024: 5289-5297 - [c57]Sven Thijssen, Muhammad Rashedul Haq Rashed, Hao Zheng, Sumit Kumar Jha, Rickard Ewetz:
Towards Area-Efficient Path-Based In-Memory Computing using Graph Isomorphisms. ASPDAC 2024: 812-817 - [c56]Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
READ-based In-Memory Computing using Sentential Decision Diagrams. ASPDAC 2024: 818-823 - [c55]Chase Walker, Dominic Simon, Kenny Chen, Rickard Ewetz:
Attribution Quality Metrics with Magnitude Alignment. IJCAI 2024: 530-538 - [i9]Fazle Rahat, M. Shifat Hossain, Md Rubel Ahmed, Sumit Kumar Jha, Rickard Ewetz:
Data Augmentation for Image Classification using Generative AI. CoRR abs/2409.00547 (2024) - [i8]William English, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz:
NSP: A Neuro-Symbolic Natural Language Navigational Planner. CoRR abs/2409.06859 (2024) - 2023
- [j13]Md Hafizul Islam Chowdhuryy, Rickard Ewetz, Amro Awad, Fan Yao:
Understanding and Characterizing Side Channels Exploiting Phase-Change Memories. IEEE Micro 43(5): 8-15 (2023) - [j12]Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Fan Yao, Rickard Ewetz:
STREAM: Toward READ-Based In-Memory Computing for Streaming-Based Processing for Data-Intensive Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3854-3867 (2023) - [c54]Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
Discovering the in-Memory Kernels of 3D Dot-Product Engines. ASP-DAC 2023: 240-245 - [c53]Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
FLOW-3D: Flow-Based Computing on 3D Nanoscale Crossbars with Minimal Semiperimeter. ASP-DAC 2023: 775-780 - [c52]Sven Thijssen, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
UpTime: Towards Flow-based In-Memory Computing with High Fault-Tolerance. DAC 2023: 1-6 - [c51]Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
Automated Synthesis for In-Memory Computing. ICCAD 2023: 1-9 - [c50]Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz:
Path-Based Processing using In-Memory Systolic Arrays for Accelerating Data-Intensive Applications. ICCAD 2023: 1-9 - [c49]Sven Thijssen, Suraj Singireddy, Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
Verification of Flow-Based Computing Systems Using Bounded Model Checking. ICCAD 2023: 1-9 - [c48]Suraj Singireddy, Muhammad Rashedul Haq Rashed, Sven Thijssen, Rickard Ewetz, Sumit Kumar Jha:
Input-Aware Flow-Based In-Memory Computing. ICCD 2023: 523-530 - [c47]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 - [c46]Chase Walker, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz:
Adversarial Pixel and Patch Detection Using Attribution Analysis. MILCOM 2023: 710-715 - [c45]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 - [i7]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) - [i6]Chase Walker, Sumit Kumar Jha, Kenny Chen, Rickard Ewetz:
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision. CoRR abs/2305.20052 (2023) - [i5]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) - [i4]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) - 2022
- [j11]Andy Michel, Sumit Kumar Jha, Rickard Ewetz:
A survey on the vulnerability of deep neural networks against adversarial attacks. Prog. Artif. Intell. 11(2): 131-141 (2022) - [j10]Necati Uysal, Baogang Zhang, Sumit Kumar Jha, Rickard Ewetz:
XMAP: Programming Memristor Crossbars for Analog Matrix-Vector Multiplication: Toward High Precision Using Representable Matrices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1827-1841 (2022) - [j9]Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
COMPACT: Flow-Based Computing on Nanoscale Crossbars With Minimal Semiperimeter and Maximum Dimension. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4600-4611 (2022) - [j8]Necati Uysal, Rickard Ewetz:
Synthesis of Clock Networks with a Mode-Reconfigurable Topology. ACM Trans. Design Autom. Electr. Syst. 27(4): 38:1-38:22 (2022) - [c44]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 - [c43]Suraj Singireddy, Rickard Ewetz, Sumit Kumar Jha:
Deep Learning Toolkit-Driven Equivalence Checking of Flow-Based Computing Systems. AICAS 2022: 50-53 - [c42]Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Fan Yao, Rickard Ewetz:
STREAM: Towards READ-based In-Memory Computing for Streaming based Data Processing. ASP-DAC 2022: 690-695 - [c41]Muhammad Rashedul Haq Rashed, Amro Awad, Sumit Kumar Jha, Rickard Ewetz:
Towards resilient analog in-memory deep learning via data layout re-organization. DAC 2022: 859-864 - [c40]Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
PATH: evaluation of boolean logic using path-based in-memory computing. DAC 2022: 1129-1134 - [c39]Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Fan Yao, Rickard Ewetz:
Hybrid Digital-Digital In-Memory Computing. DATE 2022: 1177-1180 - [c38]Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
Logic Synthesis for Digital In-Memory Computing. ICCAD 2022: 90:1-90:9 - [c37]Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
Equivalence Checking for Flow-Based Computing. ICCD 2022: 656-663 - [c36]Kamalakkannan Ravi, Adan Ernesto Vela, Rickard Ewetz:
Classifying the Ideological Orientation of User-Submitted Texts in Social Media. ICMLA 2022: 413-418 - [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 - 2021
- [j7]Baogang Zhang, Necati Uysal, Rickard Ewetz:
Computational Restructuring: Rethinking Image Compression Using Resistive Crossbar Arrays. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 836-849 (2021) - [c34]Baogang Zhang, Rickard Ewetz:
Towards Resilient Deployment of In-Memory Neural Networks with High Throughput. DAC 2021: 1081-1086 - [c33]Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter. DATE 2021: 232-237 - [c32]Shravya Channamadhavuni, Sven Thijssen, Sumit Kumar Jha, Rickard Ewetz:
Accelerating AI Applications using Analog In-Memory Computing: Challenges and Opportunities. ACM Great Lakes Symposium on VLSI 2021: 379-384 - [c31]Muhammad Rashedul Haq Rashed, Sumit Kumar Jha, Rickard Ewetz:
Hybrid Analog-Digital In-Memory Computing. ICCAD 2021: 1-9 - [c30]Necati Uysal, Rickard Ewetz:
An OCV-Aware Clock Tree Synthesis Methodology. ICCAD 2021: 1-9 - [c29]Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Susmit Jha:
On Smoother Attributions using Neural Stochastic Differential Equations. IJCAI 2021: 522-528 - [c28]Alvaro Velasquez, Sumit Kumar Jha, Rickard Ewetz, Susmit Jha:
Automated Synthesis of Quantum Circuits Using Symbolic Abstractions and Decision Procedures. ISCAS 2021: 1-5 - [c27]Md Hafizul Islam Chowdhuryy, Muhammad Rashedul Haq Rashed, Amro Awad, Rickard Ewetz, Fan Yao:
LADDER: Architecting Content and Location-aware Writes for Crossbar Resistive Memories. MICRO 2021: 117-130 - [c26]Md Hafizul Islam Chowdhuryy, Rickard Ewetz, Amro Awad, Fan Yao:
Seeds of SEED: R-SAW: New Side Channels Exploiting Read Asymmetry in MLC Phase Change Memories. SEED 2021: 22-28 - [i3]Sumit Kumar Jha, Arvind Ramanathan, Rickard Ewetz, Alvaro Velasquez, Susmit Jha:
Protein Folding Neural Networks Are Not Robust. CoRR abs/2109.04460 (2021) - 2020
- [j6]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Handling Stuck-at-Fault Defects Using Matrix Transformation for Robust Inference of DNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2448-2460 (2020) - [c25]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. ASP-DAC 2020: 538-543 - [c24]Steven Lawrence Fernandes, Sunny Raj, Rickard Ewetz, Jodh Singh Pannu, Sumit Kumar Jha, Eddy Ortiz, Iustina Vintila, Margaret Salter:
Detecting Deepfake Videos using Attribution-Based Confidence Metric. CVPR Workshops 2020: 1250-1259 - [c23]Baogang Zhang, Necati Uysal, Rickard Ewetz:
Computational Restructuring: Rethinking Image Processing using Memristor Crossbar Arrays. DATE 2020: 1594-1597 - [c22]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead. ACM Great Lakes Symposium on VLSI 2020: 339-344 - [c21]Necati Uysal, Baogang Zhang, Sumit Kumar Jha, Rickard Ewetz:
DP-MAP: Towards Resistive Dot-Product Engines with Improved Precision. ICCAD 2020: 151:1-151:9 - [c20]Necati Uysal, Juan Ariel Cabrera, Rickard Ewetz:
Synthesis of Clock Networks with a Mode Reconfigurable Topology and No Short Circuit Current. ISPD 2020: 103-110 - [c19]Baogang Zhang, M. G. Sarwar Murshed, Faraz Hussain, Rickard Ewetz:
Fast Resilient-Aware Data Layout Organization for Resistive Computing Systems. ISVLSI 2020: 72-77 - [i2]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)
2010 – 2019
- 2019
- [j5]Vamsee Reddy Kommareddy, Baogang Zhang, Fan Yao, Rickard Ewetz, Amro Awad:
Are Crossbar Memories Secure? New Security Vulnerabilities in Crossbar Memories. IEEE Comput. Archit. Lett. 18(2): 174-177 (2019) - [j4]Rickard Ewetz, Cheng-Kok Koh:
Scalable Construction of Clock Trees With Useful Skew and High Timing Quality. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1161-1174 (2019) - [c18]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Handling stuck-at-faults in memristor crossbar arrays using matrix transformations. ASP-DAC 2019: 438-443 - [c17]Necati Uysal, Wen-Hao Liu, Rickard Ewetz:
Latency constraint guided buffer sizing and layer assignment for clock trees with useful skew. ASP-DAC 2019: 761-766 - [c16]Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan:
Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. DAC 2019: 57 - [c15]Baogang Zhang, Necati Uysal, Rickard Ewetz:
STAT: Mean and Variance Characterization for Robust Inference of DNNs on Memristor-based Platforms. ACM Great Lakes Symposium on VLSI 2019: 339-342 - [i1]Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz:
Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. CoRR abs/1911.12352 (2019) - 2018
- [c14]Necati Uysal, Rickard Ewetz:
OCV guided clock tree topology reconstruction. ASP-DAC 2018: 494-499 - [c13]Chuan Yean Tan, Rickard Ewetz, Cheng-Kok Koh:
Clustering of flip-flops for useful-skew clock tree synthesis. ASP-DAC 2018: 507-512 - [c12]Baogang Zhang, Rickard Ewetz:
Software and Hardware Techniques for Reducing the Impact of Quantization Errors in Memristor Crossbar Arrays. ICCD 2018: 195-201 - 2017
- [j3]Rickard Ewetz, Cheng-Kok Koh:
Fast clock scheduling and an application to clock tree synthesis. Integr. 56: 115-127 (2017) - [c11]Szu-Yuan Han, Wen-Hao Liu, Rickard Ewetz, Cheng-Kok Koh, Kai-Yuan Chao, Ting-Chi Wang:
Delay-driven layer assignment for advanced technology nodes. ASP-DAC 2017: 456-462 - [c10]Rickard Ewetz:
A Clock Tree Optimization Framework with Predictable Timing Quality. DAC 2017: 72:1-72:6 - [c9]Rickard Ewetz, Cheng-Kok Koh:
Clock Tree Construction based on Arrival Time Constraints. ISPD 2017: 67-74 - 2016
- [b1]Rickard Ewetz:
Synthesis of Clock Trees with Useful Skew based on Sparse-Graph Algorithms. Purdue University, USA, 2016 - [j2]Rickard Ewetz, Cheng-Kok Koh:
Construction of Reconfigurable Clock Trees for MCMM Designs Using Mode Separation and Scenario Compression. ACM Trans. Design Autom. Electr. Syst. 21(4): 57:1-57:27 (2016) - [c8]Rickard Ewetz, Cheng-Kok Koh:
MCMM clock tree optimization based on slack redistribution using a reduced slack graph. ASP-DAC 2016: 366-371 - [c7]Rickard Ewetz, Chuan Yean Tan, Cheng-Kok Koh:
Construction of Latency-Bounded Clock Trees. ISPD 2016: 81-88 - 2015
- [j1]Rickard Ewetz, Cheng-Kok Koh:
Cost-Effective Robustness in Clock Networks Using Near-Tree Structures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(4): 515-528 (2015) - [c6]Rickard Ewetz, Shankarshana Janarthanan, Cheng-Kok Koh:
Fast clock skew scheduling based on sparse-graph algorithms. ASP-DAC 2015: 472-477 - [c5]Rickard Ewetz, Shankarshana Janarthanan, Cheng-Kok Koh:
Construction of reconfigurable clock trees for MCMM designs. DAC 2015: 25:1-25:6 - [c4]Rickard Ewetz, Cheng-Kok Koh:
A Useful Skew Tree Framework for Inserting Large Safety Margins. ISPD 2015: 85-92 - 2014
- [c3]Rickard Ewetz, Anirudh Udupa, Ganesh Subbarayan, Cheng-Kok Koh:
A TSV-cross-link-based approach to 3D-clock network synthesis for improved robustness. ACM Great Lakes Symposium on VLSI 2014: 15-20 - [c2]Rickard Ewetz, Wen-Hao Liu, Kai-Yuan Chao, Ting-Chi Wang, Cheng-Kok Koh:
A study on the use of parallel wiring techniques for sub-20nm designs. ACM Great Lakes Symposium on VLSI 2014: 129-134 - 2013
- [c1]Rickard Ewetz, Cheng-Kok Koh:
Local merges for effective redundancy in clock networks. ISPD 2013: 162-167
Coauthor Index
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last updated on 2024-10-21 20:30 CEST by the dblp team
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