activity
20162022
most citedTime-series Transformer Generative Adversarial Networks

9 citations · 9 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20229 cited

Time-series Transformer Generative Adversarial Networks

Padmanaba Srinivasan, William J. Knottenbelt

Many real-world tasks are plagued by limitations on data: in some instances very little data is available and in others, data is protected by privacy enforcing regulations (e.g. GD…

econ.EM2021

A Scalable Inference Method For Large Dynamic Economic Systems

Pratha Khandelwal, Philip Nadler, Rossella Arcucci +2

The nature of available economic data has changed fundamentally in the last decade due to the economy's digitisation. With the prevalence of often black box data-driven machine lea…

q-fin.GN2020

DeFi Protocols for Loanable Funds: Interest Rates, Liquidity and Market Efficiency

Lewis Gudgeon, Sam M. Werner, Daniel Perez +1

We coin the term *Protocols for Loanable Funds (PLFs)* to refer to protocols which establish distributed ledger-based markets for loanable funds. PLFs are emerging as one of the ma…

cs.CR2018

Towards Safer Smart Contracts: A Survey of Languages and Verification Methods

Dominik Harz, William Knottenbelt

With a market capitalisation of over USD 205 billion in just under ten years, public distributed ledgers have experienced significant adoption. Apart from novel consensus mechanism…

cs.CY2016

Does disaggregated electricity feedback reduce domestic electricity consumption? A systematic review of the literature

Jack Kelly, William Knottenbelt

We examine 12 studies on the efficacy of disaggregated energy feedback. The average electricity reduction across these studies is 4.5%. However, 4.5% may be a positively-biased est…