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Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
Paper • 2604.08537 • Published • 5 -
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Paper • 2502.07408 • Published • 46 -
Hierarchical Codec Diffusion for Video-to-Speech Generation
Paper • 2604.15923 • Published • 2 -
ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics
Paper • 2604.16254 • Published • 1
Kirill Trapeznikov PRO
ktrapeznikov
AI & ML interests
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Recent Activity
updated a collection about 7 hours ago
Papers to Read updated a collection about 7 hours ago
Papers to Read updated a collection about 7 hours ago
Papers to ReadOrganizations
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Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
Paper • 2604.08537 • Published • 5 -
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Paper • 2502.07408 • Published • 46 -
Hierarchical Codec Diffusion for Video-to-Speech Generation
Paper • 2604.15923 • Published • 2 -
ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics
Paper • 2604.16254 • Published • 1
models 7
ktrapeznikov/test-model
Updated
ktrapeznikov/gpt2-medium-topic-small-set
Text Generation • Updated • 11
ktrapeznikov/gpt2-medium-topic-news
Text Generation • Updated • 8 • 2
ktrapeznikov/gpt2-medium-topic-news-v2
Text Generation • Updated • 6 • 1
ktrapeznikov/scibert_scivocab_uncased_squad_v2
Question Answering • Updated • 212
ktrapeznikov/biobert_v1.1_pubmed_squad_v2
Question Answering • Updated • 401 • 3
ktrapeznikov/albert-xlarge-v2-squad-v2
Question Answering • Updated • 29 • 2
datasets 0
None public yet