What is recorded here?
Integrated a dynamic-graph reverse-mode differentiation engine with encoder–decoder abstractions, optimized operators, batched search and multi-GPU translation training in C++.
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Scientific scope
Builds on a Nematus reimplementation and inherited recurrent/Transformer architectures; it does not invent reverse-mode differentiation. Original report intentionally lacks Python bindings.
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People and systems
Marcin Junczys-Dowmunt; Roman Grundkiewicz; Tomasz Dwojak; Hieu Hoang; Kenneth Heafield; Tom Neckermann; Frank Seide; Ulrich Germann; Alham Fikri Aji; Nikolay Bogoychev; André Martins; Alexandra Birch
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English catalogue narrative
Marian: self-contained C++ translation and automatic differentiation
Integrated a dynamic-graph reverse-mode differentiation engine with encoder–decoder abstractions, optimized operators, batched search and multi-GPU translation training in C++.
Scientific scope
Builds on a Nematus reimplementation and inherited recurrent/Transformer architectures; it does not invent reverse-mode differentiation. Original report intentionally lacks Python bindings.
People and systems
Marcin Junczys-Dowmunt; Roman Grundkiewicz; Tomasz Dwojak; Hieu Hoang; Kenneth Heafield; Tom Neckermann; Frank Seide; Ulrich Germann; Alham Fikri Aji; Nikolay Bogoychev; André Martins; Alexandra Birch