SimTrace: Capturing over Time Program Phase Behavior. - Steven Flolid; Emily Shriver; Zachary Susskind; Benjamin Thorell; Lizy K. John (ISPASS, 2020)

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization. - Zachary Susskind; Bryce Arden; Lizy K. John; Patrick M. Stockton; Eugene B. John (CoRR, 2021)

Weightless Neural Networks for Efficient Edge Inference. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (PACT, 2022)

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Luis Armando Quintanilla Villon; Rafael Fontella Katopodis; Diego Leonel Cadette Dutra; Leandro Santiago de Araújo; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John; Maurício Breternitz (ASAP, 2022)

Characterization of Emerging AI Workloads: Neural Logic Machines and Graph Convolutional Networks. - Cory Davis; Patrick M. Stockton; Eugene B. John; Zachary Susskind; Lizy K. John (CSCI, 2022)

Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. - Alan T. L. Bacellar; Zachary Susskind; Luis A. Q. Villon; Igor D. S. Miranda; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Maurício Breternitz Jr.; Lizy K. John; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2022)

Pruning Weightless Neural Networks. - Zachary Susskind; Alan T. L. Bacellar; Aman Arora 001; Luis A. Q. Villon; Renan Mendanha; Leandro Santiago de Araújo; Diego Leonel Cadette Dutra; Priscila M. V. Lima; Felipe M. G. França; Igor D. S. Miranda; Maurício Breternitz Jr.; Lizy K. John (ESANN, 2022)

A WiSARD-based conditional branch predictor. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz Jr.; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (ESANN, 2022)

COIN: Combinational Intelligent Networks. - Igor D. S. Miranda; Aman Arora 001; Zachary Susskind; Josias S. A. Souza; Mugdha P. Jadhao; Luis A. Q. Villon; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ASAP, 2023)

An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. - Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego Leonel Cadette Dutra; Igor D. S. Miranda; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (FPGA, 2023)

Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. - Lizy K. John; Felipe M. G. França; Subhasish Mitra; Zachary Susskind; Priscila M. V. Lima; Igor D. S. Miranda; Eugene B. John; Diego L. C. Dutra; Maurício Breternitz (ICRC, 2023)

Adding Explicit Load-Acquire and Store-Release Instructions to the RISC-V ISA. - Bryce Adern; Zachary Susskind; Brendan Sweeney (CoRR, 2023)

A conditional branch predictor based on weightless neural networks. - Luis A. Q. Villon; Zachary Susskind; Alan T. L. Bacellar; Igor D. S. Miranda; Leandro Santiago de Araújo; Priscila M. V. Lima; Maurício Breternitz; Lizy K. John; Felipe M. G. França; Diego Leonel Cadette Dutra (Neurocomputing, 2023)

ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. - Zachary Susskind; Aman Arora 001; Igor D. S. Miranda; Alan T. L. Bacellar; Luis A. Q. Villon; Rafael Fontella Katopodis; Leandro Santiago de Araújo; Diego L. C. Dutra; Priscila M. V. Lima; Felipe M. G. França; Maurício Breternitz; Lizy K. John (ACM Trans. Archit. Code Optim., 2023)

Differentiable Weightless Neural Networks. - Alan Tendler Leibel Bacellar; Zachary Susskind; Maurício Breternitz Jr.; Eugene John; Lizy Kurian John; Priscila Machado Vieira Lima; Felipe M. G. França (ICML, 2024)

Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference. - Alan T. L. Bacellar; Zachary Susskind; Maurício Breternitz; Lizy K. John; Felipe M. G. França; Priscila M. V. Lima (IJCNN, 2024)

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. - Shashank Nag; Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego L. C. Dutra; Igor D. S. Miranda; Krishnan Kailas; Eugene B. John; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (MWSCAS, 2024)

Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference. - Shashank Nag; Alan T. L. Bacellar; Zachary Susskind; Anshul Jha; Logan Liberty; Aishwarya Sivakumar; Eugene B. John; Krishnan Kailas; Priscila M. V. Lima; Neeraja J. Yadwadkar; Felipe M. G. França; Lizy K. John (CoRR, 2024)

Embench IOT 2.0 and DSP 1.0: Modern Embedded Computing Benchmarks. - David A. Patterson 001; Jeremy Bennett; Mary Bennett; Hélène Chelin; David M. Harris; Jennifer Hellar; William Jones; Konrad Moron; Paolo Savini; Roger Shepherd; Ray Simar; Zachary Susskind; et al. (Computer, 2025)