 Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference
of Deep LearningInternational Conference on VLSI Design (VLSID), 2023 |
 Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale
Device StochasticityInternational Symposium on Circuits and Systems (ISCAS), 2023 |
 MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge
IntelligenceIEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS-I), 2021 |
 Memristors -- from In-memory computing, Deep Learning Acceleration,
Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
ComputingAdvanced Intelligent Systems (Adv. Intell. Syst.), 2020 |
