High performance computing on fault-prone nanotechnologies: novel microarchitecture techniques exploiting reliability-delay trade-offs. - Andrey V. Zykov; Elias Mizan; Margarida F. Jacome; Gustavo de Veciana; Ajay Subramanian (DAC, 2005)

Optimal Liquidation by a Large Investor. - Ajay Subramanian (SIAM J. Appl. Math., 2008)

Fund Flows, Performance, Managerial Career Concerns, and Risk Taking. - Ping Hu; Jayant R. Kale; Marco Pagani; Ajay Subramanian (Manag. Sci., 2011)

Product Market Competition, Managerial Compensation, and Firm Size in Market Equilibrium. - Ajay Subramanian (Manag. Sci., 2013)

Project Characteristics, Incentives, and Team Production. - Richard Fu; Ajay Subramanian; Anand Venkateswaran (Manag. Sci., 2016)

Optimal Dynamic Risk Taking. - Ajay Subramanian; Baozhong Yang (Math. Oper. Res., 2017)

Psychological and Neural Evidence for Reinforcement Learning: A Survey. - Ajay Subramanian; Sharad Chitlangia; Veeky Baths (CoRR, 2020)

Dynamic Prudential Regulation. - Ajay Subramanian; Baozhong Yang (Manag. Sci., 2020)

SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks. - Ajay Subramanian; Sara Price; Omkar Kumbhar; Elena Sizikova; Najib J. Majaj; Denis G. Pelli (CoRR, 2022)

mlGeNN: accelerating SNN inference using GPU-enabled neural networks. - James Paul Turner; James C. Knight; Ajay Subramanian; Thomas Nowotny (Neuromorph. Comput. Eng., 2022)

Reinforcement learning and its connections with neuroscience and psychology. - Ajay Subramanian; Sharad Chitlangia; Veeky Baths (Neural Networks, 2022)

Spatial-frequency channels, shape bias, and adversarial robustness. - Ajay Subramanian; Elena Sizikova; Najib J. Majaj; Denis G. Pelli (NeurIPS, 2023)

Comparing neural models using their perceptual discriminability predictions. - Jingyang Zhou; Chanwoo Chun; Ajay Subramanian; Eero P. Simoncelli (UniReps, 2023)

Ownership Structure, Incentives, and Asset Returns. - Hae Won (Henny) Jung; Ajay Subramanian; Qi Zeng (Manag. Sci., 2024)