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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++.

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Integrated a dynamic-graph reverse-mode differentiation engine with encoder–decoder abstractions, optimized operators, batched search and multi-GPU translation training in C++.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

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

Original sources