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Nandi, A and Kumar, P and Chakrabartty, S and Thakur, CS (2024) Margin Propagation based Analog Soft-Gates for Probabilistic Computing. In: 37th International Conference on VLSI Design, VLSID 2024, 6 January 2024through 10 January 2024, Kolkata, West Bengal, pp. 378-383.
Nair, AR and Nath, PK and Chakrabartty, S and Thakur, CS (2024) Multiplierless In-filter Computing for tinyML Platforms. In: 37th International Conference on VLSI Design, VLSID 2024, 6 January 2024through 10 January 2024, Kolkata, West Bengal, pp. 192-197.
Srivatsav, RM and Chakrabartty, S and Thakur, CS (2023) Neuromorphic Computing With Address-Event-Representation Using Time-to-Event Margin Propagation. In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 13 (4). pp. 1114-1124.
Sabbella, HR and Nair, AR and Gumme, V and Yadav, SS and Chakrabartty, S and Thakur, CS (2022) An Always-On tinyML Acoustic Classifier for Ecological Applications. In: 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022, 27 May - 1 June 2022, Austin, pp. 2393-2396.
Nair, AR and Chakrabartty, S and Thakur, CS (2022) In-Filter Computing for Designing Ultralight Acoustic Pattern Recognizers. In: IEEE Internet of Things Journal, 9 (8). pp. 6095-6106.
Kumar, P and Nair, AR and Chatterjee, O and Paul, T and Ghosh, A and Chakrabartty, S and Thakur, CS (2019) Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines. In: 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019, 4 - 7 August 2019, Dallas, pp. 311-314.
