Gamma and vega hedging using deep distributional reinforcement learning von Cao, Jay, Chen, Jacky, Farghadani, Soroush, Hull, John, Poulos, Zissis, Wang, Zeyu, Yuan, Jun

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Failure Triage in RTL Regression Verification von Poulos, Zissis, Veneris, Andreas

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Searching for Bugs Using Probabilistic Suspect Implications von Veira, Neil, Poulos, Zissis, Veneris, Andreas

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On Public Crowdsource-Based Mechanisms for a Decentralized Blockchain Oracle von Nelaturu, Keerthi, Adler, John, Merlini, Marco, Berryhill, Ryan, Veira, Neil, Poulos, Zissis, Veneris, Andreas

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Exemplar-based Failure Triage for Regression Design Debugging von Poulos, Zissis, Veneris, Andreas

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Exploiting Typical Values to Accelerate Deep Learning von Moshovos, Andreas, Albericio, Jorge, Judd, Patrick, Lascorz, Alberto Delmas, Sharify, Sayeh, Poulos, Zissis, Hetherington, Tayler, Aamodt, Tor, Jerger, Natalie Enright

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Accelerating Image-Sensor-Based Deep Learning Applications von Mahmoud, Mostafa, Stuart, Dylan Malone, Poulos, Zissis, Lascorz, Alberto Delmas, Judd, Patrick, Sharify, Sayeh, Nikolic, Milos, Siu, Kevin, Vivancos, Isak Edo, Albericio, Jorge, Moshovos, Andreas

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A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning von Malekzadeh, Parvin, Plataniotis, Konstantinos N, Poulos, Zissis, Wang, Zeyu

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Fast GPU-based Influence Maximization within Finite Deadlines via Node-level Parallelism von Pal, Koushik, Poulos, Zissis, Kim, Edward, Veneris, Andreas

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EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning von Malekzadeh, Parvin, Poulos, Zissis, Chen, Jacky, Wang, Zeyu, Plataniotis, Konstantinos N

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Leveraging reconfigurability to raise productivity in FPGA functional debug von Poulos, Zissis, Yang, Yu-Shen, Anderson, Jason, Veneris, Andreas, Le, Bao

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Training CNNs faster with Dynamic Input and Kernel Downsampling von Poulos, Zissis, Nouri, Ali, Moshovos, Andreas

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Deep Hedging of Derivatives Using Reinforcement Learning von Cao, Jay, Chen, Jacky, Hull, John, Poulos, Zissis

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Deep Learning for Exotic Option Valuation von Cao, Jay, Chen, Jacky, Hull, John, Poulos, Zissis

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Variational Autoencoders: A Hands-Off Approach to Volatility von Bergeron, Maxime, Fung, Nicholas, Hull, John, Poulos, Zissis

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Leveraging reconfigurability to raise productivity in FPGA functional debug von Poulos, Z., Yu-Shen Yang, Anderson, J., Veneris, A., Bao Le

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Gamma and Vega Hedging Using Deep Distributional Reinforcement Learning von Cao, Jay, Chen, Jacky, Farghadani, Soroush, Hull, John, Poulos, Zissis, Wang, Zeyu, Yuan, Jun

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A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning von Malekzadeh, Parvin, Plataniotis, Konstantinos N, Poulos, Zissis, Wang, Zeyu

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EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning von Malekzadeh, Parvin, Poulos, Zissis, Chen, Jacky, Wang, Zeyu, Plataniotis, Konstantinos N

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Deep Learning for Exotic Option Valuation von Cao, Jay, Chen, Jacky, Hull, John, Poulos, Zissis

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