The paper introduces ‘Adapt & Align’, a method for continual learning of neural networks using generative models. The method addresses the issue of performance loss in neural networks when retrained…
Continue readingThe article discusses the development of a new generative model for estimating room impulse responses (RIR), which is crucial in understanding sound propagation in real-world environments. The authors propose an…
Continue readingThe paper presents JEN-1 Composer, a unified AI framework for high-fidelity multi-track music generation. This system addresses the existing gap in generative AI models that lack the flexibility to compose…
Continue readingThe article discusses a new approach for generative modeling based on training a neural network to be idempotent. The idempotent operator can be applied sequentially without changing the outcome beyond…
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