3 citations · 11 across the 9 of their papers we have counts for
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cond-mat.mtrl-sci2024★ 3 cited
Representation-space diffusion models for generating periodic materials
Anshuman Sinha, Shuyi Jia, Victor Fung
Generative models hold the promise of significantly expediting the materials design process when compared to traditional human-guided or rule-based methodologies. However, effectiv…
cs.SD2024★ 1 cited
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs
Anshuman Sinha, Camille Migozzi, Aubin Rey +1
Research on multi-modal contrastive learning strategies for audio and text has rapidly gained interest. Contrastively trained Audio-Language Models (ALMs), such as CLAP, which esta…
cs.LG2024
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
Anshuman Sinha, Spencer H. Bryngelson
We demonstrate that neural networks can be FLOP-efficient integrators of one-dimensional oscillatory integrands. We train a feed-forward neural network to compute integrals of high…