Power-Accuracy Trade-Offs for Heartbeat Classification on Neural Networks Hardware. - Adarsha Balaji; Federico Corradi; Anup Das 001; Sandeep Pande; Siebren Schaafsma; Francky Catthoor (J. Low Power Electron., 2018)

Design Methodology for Embedded Approximate Artificial Neural Networks. - Adarsha Balaji; Salim Ullah; Anup Das 001; Akash Kumar 001 (ACM Great Lakes Symposium on VLSI, 2019)

Exploration of Segmented Bus As Scalable Global Interconnect for Neuromorphic Computing. - Adarsha Balaji; Yuefeng Wu; Anup Das 001; Francky Catthoor; Siebren Schaafsma (ACM Great Lakes Symposium on VLSI, 2019)

A Framework for the Analysis of Throughput-Constraints of SNNs on Neuromorphic Hardware. - Adarsha Balaji; Anup Das 001 (ISVLSI, 2019)

A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing. - Adarsha Balaji; Shihao Song; Anup Das 001; Nikil D. Dutt; Jeff Krichmar; Nagarajan Kandasamy; Francky Catthoor (IEEE Comput. Archit. Lett., 2019)

RotaSYN: Rotary Traveling Wave Oscillator SYNthesizer. - Ragh Kuttappa; Adarsha Balaji; Vasil Pano; Baris Taskin; Hamid Mahmoodi (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Compiling Spiking Neural Networks to Mitigate Neuromorphic Hardware Constraints. - Adarsha Balaji; Anup Das 001 (IGSC (Workshops), 2020)

PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network. - Adarsha Balaji; Prathyusha Adiraju; Hirak Jyoti Kashyap; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Francky Catthoor (IJCNN, 2020)

Compiling Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy; James A. Shackleford (LCTES, 2020)

Mapping Spiking Neural Networks to Neuromorphic Hardware. - Adarsha Balaji; Francky Catthoor; Anup Das 001; Yuefeng Wu; Khanh Huynh; Francesco Dell'Anna; Giacomo Indiveri; Jeffrey L. Krichmar; Nikil D. Dutt; Siebren Schaafsma (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Run-time Mapping of Spiking Neural Networks to Neuromorphic Hardware. - Adarsha Balaji; Thibaut Marty; Anup Das 001; Francky Catthoor (J. Signal Process. Syst., 2020)

On the role of system software in energy management of neuromorphic computing. - Twisha Titirsha; Shihao Song; Adarsha Balaji; Anup Das 001 (CF, 2021)

NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks. - Adarsha Balaji; Shihao Song; Twisha Titirsha; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (ICONS, 2021)

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (CoRR, 2021)

Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition. - Adarsha Balaji; Shihao Song; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; James A. Shackleford; Nagarajan Kandasamy; Francky Catthoor (IEEE Embed. Syst. Lett., 2021)

Dynamic Reliability Management in Neuromorphic Computing. - Shihao Song; Jui Hanamshet; Adarsha Balaji; Anup Das 001; Jeffrey L. Krichmar; Nikil D. Dutt; Nagarajan Kandasamy; Francky Catthoor (ACM J. Emerg. Technol. Comput. Syst., 2021)

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (DATE, 2022)

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. - Phu Khanh Huynh; M. Lakshmi Varshika; Ankita Paul; Murat Isik; Adarsha Balaji; Anup Das 001 (CoRR, 2022)

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. - Shihao Song; Harry Chong; Adarsha Balaji; Anup Das 001; James A. Shackleford; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. - Shihao Song; Adarsha Balaji; Anup Das 001; Nagarajan Kandasamy (ACM Trans. Embed. Comput. Syst., 2022)

Application - Hardware Co-Optimization of Crossbar-Based Neuromorphic Systems. - Adarsha Balaji; Prasanna Balaprakash (ICMLA, 2023)

NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware. - Adarsha Balaji; Phu Khanh Huynh; Francky Catthoor; Nikil D. Dutt; Jeffrey L. Krichmar; Anup Das 001 (IEEE Trans. Emerg. Top. Comput., 2023)

Network architecture search of X-ray based scientific applications. - Adarsha Balaji; Ramyad Hadidi; Gregory Kollmer; Mohammed E. Fouda; Prasanna Balaprakash (CoRR, 2024)

Evaluating the Safety and Skill Reasoning of Large Reasoning Models Under Compute Constraints. - Adarsha Balaji; Le Chen; Rajeev Thakur; Franck Cappello; Sandeep Madireddy (CoRR, 2025)

Large Language Models Inference Engines based on Spiking Neural Networks. - Adarsha Balaji; Sandeep Madireddy; Prasanna Balaprakash (CoRR, 2025)