Giacomo De Palma

25 papers A* 2Journal 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mean-field limit from general mixtures of experts to quantum neural networks. CoRR Anderson Melchor Hernandez, Davide Pastorello, Giacomo De Palma
2025	J	`jnl`	Non-iid hypothesis testing: from classical to quantum. CoRR Giacomo De Palma, Marco Fanizza, Connor Mowry, Ryan O'Donnell
2025	J	`jnl`	The Multimode Conditional Quantum Entropy Power Inequality and the Squashed Entanglement of the Extreme Multimode Bosonic Gaussian Channels. IEEE Trans. Inf. Theory Alessandro Falco, Giacomo De Palma
2024	J	`jnl`	Optical Fibers With Memory Effects and Their Quantum Communication Capacities. IEEE Trans. Inf. Theory Francesco Anna Mele, Giacomo De Palma, Marco Fanizza, Vittorio Giovannetti, Ludovico Lami
2024	J	`jnl`	Trained quantum neural networks are Gaussian processes. CoRR Filippo Girardi, Giacomo De Palma
2021	A*	`conf`	Adversarial Robustness Guarantees for Random Deep Neural Networks. ICML Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
2021	J	`jnl`	Quantum Earth Mover's Distance: A New Approach to Learning Quantum Data. CoRR Bobak Toussi Kiani, Giacomo De Palma, Milad Marvian, Zi-Wen Liu, Seth Lloyd
2021	J	`jnl`	Quantum algorithms for group convolution, cross-correlation, and equivariant transformations. CoRR Grecia Castelazo, Quynh The Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak Toussi Kiani
2021	J	`jnl`	The Quantum Wasserstein Distance of Order 1. IEEE Trans. Inf. Theory Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd
2020	J	`jnl`	Adversarial robustness guarantees for random deep neural networks. CoRR Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
2020	J	`jnl`	Quantum advantage for differential equation analysis. CoRR Bobak Toussi Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd
2020	J	`jnl`	The quantum Wasserstein distance of order 1. CoRR Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd
2019	J	`jnl`	New Lower Bounds to the Output Entropy of Multi-Mode Quantum Gaussian Channels. IEEE Trans. Inf. Theory Giacomo De Palma
2019	A*	`conf`	Random deep neural networks are biased towards simple functions. NeurIPS Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
2018	J	`jnl`	Deep neural networks are biased towards simple functions. CoRR Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd
2018	J	`jnl`	Gaussian optimizers for entropic inequalities in quantum information. CoRR Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti, Luigi Ambrosio
2018	J	`jnl`	New lower bounds to the output entropy of multi-mode quantum Gaussian channels. CoRR Giacomo De Palma
2018	J	`jnl`	The Entropy Power Inequality with quantum conditioning. CoRR Giacomo De Palma
2018	J	`jnl`	The conditional Entropy Power Inequality for quantum additive noise channels. CoRR Giacomo De Palma, Stefan Huber
2017	J	`jnl`	Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator. IEEE Trans. Inf. Theory Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti
2017	J	`jnl`	The Entropy Power Inequality with quantum memory. CoRR Giacomo De Palma, Dario Trevisan
2017	J	`jnl`	Uncertainty relations with quantum memory for the Wehrl entropy. CoRR Giacomo De Palma
2016	J	`jnl`	Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator. CoRR Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti
2016	J	`jnl`	Gaussian states minimize the output entropy of one-mode quantum Gaussian channels. CoRR Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti
2016	J	`jnl`	Passive States Optimize the Output of Bosonic Gaussian Quantum Channels. IEEE Trans. Inf. Theory Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti