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Found 4 papers, 3 papers with code
De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments
Bottom-up mass spectrometry-based proteomics is challenged by the task of identifying the peptide that generates a tandem mass spectrum.
TransFusion: Transcribing Speech with Multinomial Diffusion
In this work we aim to see whether the benefits of diffusion models can also be realized for speech recognition.
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
Multi-agent reinforcement learning has been used as an effective means to study emergent communication between agents, yet little focus has been given to continuous acoustic communication.
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
We test the ability of reinforcement learning agents to effectively communicate through discrete word-level symbols and show that the agents are able to sufficiently communicate through natural language with a limited vocabulary.
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