most citedChannel Balance Interpolation in the Lightning Network via Machine Learning

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Implementing QESEM's High-Accuracy Error Mitigation on a Quantum Computer: a Water Potential Energy Surface Study

Renato Olarte Hernandez, Emanuele Rossi, Sonia Coriani +5

Quantum error mitigation (QEM) is essential for extracting chemically accurate results from near-term quantum hardware. Many widely used QEM methods rely on uncontrolled heuristics…

cs.LG2026

MPFlow: Learning Budgeted Max-Flow Optimization on the Lightning Network with Deep Graph Reinforcement Learning

Harrison Rush, Vincent Davis, Simone Antonelli +3

We address liquidity placement in the Bitcoin Lightning Network (LN): given a fixed budget, which channels should a node open to maximize its routing capacity? We cast this as a bu…

quant-ph2026

Resource-efficient energy-based operator selection in fermionic ADAPT-VQE via exact Hamiltonian transformation

Emanuele Rossi, Erik Rosendahl Kjellgren, Artur F. Izmaylov +3

The energy-based approach to operator selection in ADAPT-VQE relies on reconstructing the one-parameter energy landscape for each operator in the pool. In fermionic implementations…

cs.LG2026

Communicating Sound Through Natural Language

Emanuele Rossi, Emanuele Rodolà

Natural language is widely used to describe, prompt, and control audio systems, but rarely serves as the representation carrying audio itself. We introduce lexical acoustic coding…

cs.LG2026

Predicting Channel Closures in the Lightning Network with Machine Learning

Simone Antonelli, Vincent Davis, Harrison Rush +4

The Lightning Network (LN) is a second-layer protocol for Bitcoin designed to enable fast and cost-efficient off-chain transactions. Channels in the LN can be closed either by mutu…

cs.LG2024

Bayesian Binary Search

Vikash Singh, Matthew Khanzadeh, Vincent Davis +4

We present Bayesian Binary Search (BBS), a novel probabilistic variant of the classical binary search/bisection algorithm. BBS leverages machine learning/statistical techniques to…

cs.LG2024★ 1 cited

Channel Balance Interpolation in the Lightning Network via Machine Learning

Vincent Davis, Emanuele Rossi, Vikash Singh

The Bitcoin Lightning Network is a Layer 2 payment protocol that addresses Bitcoin's scalability by facilitating quick and cost effective transactions through payment channels. Thi…