A 200-MHz 64-bit Dual-Issue CMOS Microprocessor. - Daniel W. Dobberpuhl; Richard T. Witek; Randy L. Allmon; Robert Anglin; David Bertucci; Sharon M. Britton; Linda Chao; Robert A. Conrad; Daniel E. Dever; Bruce Gieseke; Soha Hassoun; Gregory W. Hoeppner; et al. (Digit. Tech. J., 1992)

A 200-MHz 64-b dual-issue CMOS microprocessor. - Daniel W. Dobberpuhl; Richard T. Witek; Randy L. Allmon; Robert Anglin; David Bertucci; Sharon M. Britton; Linda Chao; Robert A. Conrad; Daniel E. Dever; Bruce Gieseke; Soha Hassoun; Gregory W. Hoeppner; et al. (IEEE J. Solid State Circuits, 1992)

A 160-MHz, 32-b, 0.5-W CMOS RISC Microprocessor. - James Montanaro; Richard T. Witek; Krishna Anne; Andrew J. Black; Elizabeth M. Cooper; Daniel W. Dobberpuhl; Paul M. Donahue; Jim Eno; Gregory W. Hoeppner; David Kruckemyer; Thomas H. Lee; Peter C. M. Lin; et al. (Digit. Tech. J., 1997)

Exploiting CMOS reverse interconnect scaling in multigigahertz amplifier and oscillator design. - Bendik Kleveland; Carlos H. Diaz; Dieter Vook; Liam Madden; Thomas H. Lee; S. Simon Wong (IEEE J. Solid State Circuits, 2001)

Correction to "exploiting CMOS reverse interconnect scaling in multigigahertz amplifier and oscillator design". - Bendik Kleveland; Carlos H. Diaz; Dieter Vook; Liam Madden; Thomas H. Lee; S. Simon Wong (IEEE J. Solid State Circuits, 2002)

High-frequency characterization of on-chip digital interconnects. - Bendik Kleveland; Xiaoning Qi; Liam Madden; Takeshi Furusawa; Robert W. Dutton; Mark A. Horowitz; S. Simon Wong (IEEE J. Solid State Circuits, 2002)

Advancing high performance heterogeneous integration through die stacking. - Liam Madden; Ephrem Wu; Namhoon Kim; Bahareh Banijamali; Khaldoon Abugharbieh; Suresh Ramalingam; Xin Wu (ESSCIRC, 2012)

Heterogeneous 3-d stacking, can we have the best of both (technology) worlds? - Liam Madden (ISPD, 2013)

6.3 A Heterogeneous 3D-IC consisting of two 28nm FPGA die and 32 reconfigurable high-performance data converters. - Christophe Erdmann; Donnacha Lowney; Adrian Lynam; Aidan Keady; John McGrath; Edward Cullen; Daire Breathnach; Denis Keane; Patrick Lynch; Marites De La Torre; Ronnie De La Torre; Peng Lim; et al. (ISSCC, 2014)

A Heterogeneous 3D-IC Consisting of Two 28 nm FPGA Die and 32 Reconfigurable High-Performance Data Converters. - Christophe Erdmann; Donnacha Lowney; Adrian Lynam; Aidan Keady; John McGrath; Edward Cullen; Daire Breathnach; Denis Keane; Patrick Lynch; Marites De La Torre; Ronnie De La Torre; Peng Lim; et al. (IEEE J. Solid State Circuits, 2015)

A programmable RFSoC in 16nm FinFET technology for wideband communications. - Brendan Farley; Christophe Erdmann; Bruno Vaz; John McGrath; Edward Cullen; Bob Verbruggen; Roberto Pelliconi; Daire Breathnach; Peng Lim; Ali Boumaalif; Patrick Lynch; Conrado Mesadri; et al. (A-SSCC, 2017)

Online Sparse Subspace Clustering. - Liam Madden; Stephen Becker; Emiliano Dall'Anese (DSW, 2019)

Optimization and Learning With Information Streams: Time-varying algorithms and applications. - Emiliano Dall'Anese; Andrea Simonetto; Stephen Becker; Liam Madden (IEEE Signal Process. Mag., 2020)

A Stochastic Operator Framework for Inexact Static and Online Optimization. - Nicola Bastianello; Liam Madden; Ruggero Carli; Emiliano Dall'Anese (CoRR, 2021)

Convergence of the Inexact Online Gradient and Proximal-Gradient Under the Polyak-Łojasiewicz Condition. - Seunghyun Kim; Liam Madden; Emiliano Dall'Anese (CoRR, 2021)

Bounds for the Tracking Error of First-Order Online Optimization Methods. - Liam Madden; Stephen Becker; Emiliano Dall'Anese (J. Optim. Theory Appl., 2021)

Online Stochastic Gradient Methods Under Sub-Weibull Noise and the Polyak-Łojasiewicz Condition. - Seunghyun Kim; Liam Madden; Emiliano Dall'Anese (CDC, 2022)

Sketching the Best Approximate Quantum Compiling Problem. - Liam Madden; Albert Akhriev; Andrea Simonetto (QCE, 2022)

Upper and lower memory capacity bounds of transformers for next-token prediction. - Liam Madden; Curtis Fox; Christos Thrampoulidis (CoRR, 2024)

Memory capacity of three-layer neural networks with non-polynomial activations. - Liam Madden (CoRR, 2024)

High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise. - Liam Madden; Emiliano Dall'Anese; Stephen Becker (J. Mach. Learn. Res., 2024)

Memory Capacity of Two Layer Neural Networks with Smooth Activations. - Liam Madden; Christos Thrampoulidis (SIAM J. Math. Data Sci., 2024)

A Stochastic Operator Framework for Optimization and Learning With Sub-Weibull Errors. - Nicola Bastianello; Liam Madden; Ruggero Carli; Emiliano Dall'Anese (IEEE Trans. Autom. Control., 2024)

Next-Token Prediction Capacity: General Upper Bounds and a Lower Bound for Transformers. - Liam Madden; Curtis Fox; Christos Thrampoulidis (IEEE Trans. Inf. Theory, 2025)