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20232026
most citedThe Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning

1 citations · 1 across the 14 of their papers we have counts for

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cs.LG2025

Training AI Co-Scientists Using Rubric Rewards

Shashwat Goel, Rishi Hazra, Dulhan Jayalath +8

AI co-scientists are emerging as a tool to assist human researchers in achieving their research goals. A crucial feature of these AI co-scientists is the ability to generate a rese…

cs.LG2025

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision

Dulhan Jayalath, Shashwat Goel, Thomas Foster +5

Where do learning signals come from when there is no ground truth in post-training? We show that inference compute itself can serve as supervision. By generating parallel rollouts…

cs.LG2025

The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset

Gilad Landau, Miran Özdogan, Gereon Elvers +15

The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communicat…

cs.LG2025

LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale

Miran Özdogan, Gilad Landau, Gereon Elvers +5

LibriBrain represents the largest single-subject MEG dataset to date for speech decoding, with over 50 hours of recordings -- 5 larger than the next comparable dataset and…

cs.LG2025

Unlocking Non-Invasive Brain-to-Text

Dulhan Jayalath, Gilad Landau, Oiwi Parker Jones

Despite major advances in surgical brain-to-text (B2T), i.e. transcribing speech from invasive brain recordings, non-invasive alternatives have yet to surpass even chance on standa…