Using Link Analysis Algorithms to Study the Role of Neurons in the Worm Connectome. - Piotr Szczurek; Mark Horeni (AINA, 2018)

LSTMs for Keyword Spotting with ReRAM-Based Compute-In-Memory Architectures. - Clemens J. S. Schaefer; Mark Horeni; Pooria Taheri; Siddharth Joshi 001 (ISCAS, 2021)

Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization. - Mark Horeni; Pooria Taheri; Po-An Tsai; Angshuman Parashar; Joel S. Emer; Siddharth Joshi 001 (ISPASS, 2022)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Jayden Parker Vap; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoRR, 2023)

Improvements in Interlayer Pipelining of CNN Accelerators Using Genetic Algorithms. - Mark Horeni; Siddharth Joshi 001 (CoRR, 2023)

The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks. - Clemens JS Schaefer; Pooria Taheri; Mark Horeni; Siddharth Joshi 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Hadamard Domain Training with Integers for Class Incremental Quantized Learning. - Martin Schiemer; Clemens JS Schaefer; Mark James Horeni; Yu Emma Wang; Juan Ye; Siddharth Joshi 001 (CoLLAs, 2024)