Ayush Arunachalam

11 papers A* 1A 2Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing AMS Circuit Reliability: An Anomaly Dataset for Functional Safety Research in Automotive SoCs. ACM Great Lakes Symposium on VLSI Sanjay Das, Anand Menon, Omar Abiola Abioye, Afreen Fatimah Khazi-Syed, Jonathan Edward Lee, Ayush Arunachalam, Shamik Kundu, Pooja Madhusoodhanan, Prasanth Viswanathan Pillai, Rubin A. Parekhji, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2024	J	`jnl`	Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning. CoRR Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee, Arnab Raha, Xiankun Jin, Fei Su, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Suriyaprakash Natarajan, Kanad Basu
2024	A*	`conf`	NSPG: Natural language Processing-based Security Property Generator for Hardware Security Assurance. DAC Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu
2023	J	`jnl`	A Novel Low-Power Compression Scheme for Systolic Array-Based Deep Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu
2023	A	`conf`	Enhanced ML-Based Approach for Functional Safety Improvement in Automotive AMS Circuits. ITC Ayush Arunachalam, Sanjay Das, Monikka Rajan, Fei Su, Xiankun Jin, Suvadeep Banerjee, Arnab Raha, Suriyaprakash Natarajan, Kanad Basu
2023	—	`conf`	Search Space Reduction for Efficient Quantum Compilation. ACM Great Lakes Symposium on VLSI Amisha Srivastava, Chao Lu, Navnil Choudhury, Ayush Arunachalam, Kanad Basu
2023	J	`jnl`	Unlocking Hardware Security Assurance: The Potential of LLMs. CoRR Xingyu Meng, Amisha Srivastava, Ayush Arunachalam, Avik Ray, Pedro Henrique Silva, Rafail Psiakis, Yiorgos Makris, Kanad Basu
2022	—	`conf`	Fault Resilience of DNN Accelerators for Compressed Sensor Inputs. ISVLSI Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Kanad Basu
2022	J	`jnl`	Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling. CoRR Ayush Arunachalam, S. Novia Berriel, Parag Banerjee, Kanad Basu
2022	A	`conf`	Unsupervised Learning-based Early Anomaly Detection in AMS Circuits of Automotive SoCs. ITC Ayush Arunachalam, Athulya Kizhakkayil, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Robert Jin, Fei Su, Kanad Basu
2021	—	`conf`	HardCompress: A Novel Hardware-based Low-power Compression Scheme for DNN Accelerators. ISQED Ayush Arunachalam, Shamik Kundu, Arnab Raha, Suvadeep Banerjee, Suriyaprakash Natarajan, Kanad Basu