Back to page 1

Researchers — page 29

Showing 3361-3480 of 3,615 researchers

3373
Yaniv Leviathan

Faster LLM inference via speculative decoding

A high-signal researcher for the latency and systems side of modern language models, especially where clever decoding tricks turn frontier models into usable products.

3377
Yann LeCun

Representation learning, AI systems

A foundational deep-learning figure whose influence spans convolutional networks, representation learning, and long-running arguments about what capable AI systems should optimize for next.

3455
Yoon Kim

Linear transformers via the delta rule

A useful researcher to study for the line from classic neural NLP into today’s efficient large-model work, with papers that span early sentence models, character-aware language modeling, and current sequence-model efficiency research.

3456
Yoshua Bengio

Deep learning, representation learning, safety

A foundational deep-learning researcher whose influence spans representation learning, institution building, and the long-running effort to connect frontier AI progress with public-interest concerns.

3458
Yossi Matias

Faster LLM inference via speculative decoding

Important because his profile sits at the intersection of field-level research leadership and concrete systems work such as speculative decoding that directly changed how modern LLM inference gets deployed.