A more bio-plausible approach to the evolutionary inference of finite state machines. - Hooman Shayani; Peter J. Bentley (GECCO (Companion), 2007)

Hardware Implementation of a Bio-plausible Neuron Model for Evolution and Growth of Spiking Neural Networks on FPGA. - Hooman Shayani; Peter J. Bentley; Andy M. Tyrrell (AHS, 2008)

An FPGA-based model suitable for evolution and development of spiking neural networks. - Hooman Shayani; Peter J. Bentley; Andrew M. Tyrrell (ESANN, 2008)

A Cellular Structure for Online Routing of Digital Spiking Neuron Axons and Dendrites on FPGAs. - Hooman Shayani; Peter J. Bentley; Andy M. Tyrrell (ICES, 2008)

A Multi-cellular Developmental Representation for Evolution of Adaptive Spiking Neural Microcircuits in an FPGA. - Hooman Shayani; Peter J. Bentley; Andy M. Tyrrell (AHS, 2009)

The challenge of irrationality: fractal protein recipes for PI. - Jean Krohn; Peter J. Bentley; Hooman Shayani (GECCO, 2009)

Systemic Computation Using Graphics Processors. - Marjan Rouhipour; Peter J. Bentley; Hooman Shayani (ICES, 2010)

Fast bio-inspired computation using a GPU-based systemic computer. - Marjan Rouhipour; Peter J. Bentley; Hooman Shayani (Parallel Comput., 2010)

A practical investigation into achieving bio-plausibility in evo-devo neural microcircuits feasible in an FPGA. - Hooman Shayani (2013)

UV-Net: Learning from Curve-Networks and Solids. - Pradeep Kumar Jayaraman; Aditya Sanghi; Joseph G. Lambourne; Thomas Davies; Hooman Shayani; Nigel J. W. Morris (CoRR, 2020)

UV-Net: Learning From Boundary Representations. - Pradeep Kumar Jayaraman; Aditya Sanghi; Joseph G. Lambourne; Karl D. D. Willis; Thomas Davies; Hooman Shayani; Nigel J. W. Morris (CVPR, 2021)

BRepNet: A Topological Message Passing System for Solid Models. - Joseph G. Lambourne; Karl D. D. Willis; Pradeep Kumar Jayaraman; Aditya Sanghi; Peter Meltzer; Hooman Shayani (CVPR, 2021)

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. - Peter Meltzer; Hooman Shayani; Amir Khasahmadi; Pradeep Kumar Jayaraman; Aditya Sanghi; Joseph G. Lambourne (ICCV, 2021)

UNIST: Unpaired Neural Implicit Shape Translation Network. - Qimin Chen; Johannes Merz; Aditya Sanghi; Hooman Shayani; Ali Mahdavi-Amiri; Hao Zhang 002 (CVPR, 2022)

CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. - Fenggen Yu; Zhiqin Chen; Manyi Li; Aditya Sanghi; Hooman Shayani; Ali Mahdavi-Amiri; Hao Zhang 002 (CVPR, 2022)

TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. - Aditya Sanghi; Rao Fu; Vivian Liu; Karl D. D. Willis; Hooman Shayani; Amir Hosein Khasahmadi; Srinath Sridhar 002; Daniel Ritchie (CoRR, 2022)

CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language. - Aditya Sanghi; Rao Fu; Vivian Liu; Karl D. D. Willis; Hooman Shayani; Amir Hosein Khasahmadi; Srinath Sridhar 002; Daniel Ritchie (CVPR, 2023)

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. - Aditya Sanghi; Pradeep Kumar Jayaraman; Arianna Rampini; Joseph G. Lambourne; Hooman Shayani; Evan Atherton; Saeid Asgari Taghanaki (CoRR, 2023)

Make-A-Shape: a Ten-Million-scale 3D Shape Model. - Ka-Hei Hui; Aditya Sanghi; Arianna Rampini; Kamal Rahimi Malekshan; Zhengzhe Liu; Hooman Shayani; Chi-Wing Fu (ICML, 2024)

Inspired by AI? A Novel Generative AI System To Assist Conceptual Automotive Design. - Ye Wang; Nicole B. Damen; Thomas Gale; Voho Seo; Hooman Shayani (CoRR, 2024)

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings. - Aditya Sanghi; Aliasghar Khani; Pradyumna Reddy; Arianna Rampini; Derek Cheung; Kamal Rahimi Malekshan; Kanika Madan; Hooman Shayani (CoRR, 2024)