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Home/Authors/Risto Miikkulainen

Risto Miikkulainen

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2AI×2

Frequent co-authors

Kajetan Schweighofer2×
Conor F. Hayes1×
Roberto Dailey1×
Xin Qiu1×
Kaivan Kamali1×
Hormoz Shahrzad1×

Research Timeline

2026
Efficient Pre-Training of LLMs through Truncated SVD Layers

The paper introduces TSVD, a novel framework that efficiently pre-trains LLMs by enforcing both low rank and strict weight orthonormality, achieving performance comparable to full-parameter models with significantly reduced computational cost.

Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

This paper introduces Anchored Weight Decay (AWD), a regularization technique that effectively prevents prior-task forgetting during LLM fine-tuning with Evolution Strategies (ES), positioning ES as a viable method for continual learning.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentMay 28, 2026

Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies

Kajetan Schweighofer, Conor F. Hayes, Roberto Dailey, Risto Miikkulainen +1 more

This paper introduces Anchored Weight Decay (AWD), a regularization technique that effectively prevents prior-task forgetting during LLM fine-tuning with Evolution Strategies (ES), positioning ES as a…

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cs.LGcs.AIRecentMay 27, 2026

Efficient Pre-Training of LLMs through Truncated SVD Layers

Kaivan Kamali, Kajetan Schweighofer, Hormoz Shahrzad, Olivier Francon +2 more

The paper introduces TSVD, a novel framework that efficiently pre-trains LLMs by enforcing both low rank and strict weight orthonormality, achieving performance comparable to full-parameter models wit…

View →