3 papers
cs.LG2026
Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation
Soudeep Ghoshal, Sandipan Chakraborty, Pradipto Chowdhury +1
Machine learning techniques, such as Transformers and Long Short-Term Memory (LSTM) networks, play a crucial role in Symbolic Music Generation (SMG). Existing literature indicates…
cs.IR2026
NDT: Non-Differential Transformer and Its Application to Sentiment Analysis
Soudeep Ghoshal, Himanshu Buckchash, Sarita Paudel +1
From customer feedback to social media, understanding human sentiment in text is central to how machines can interact meaningfully with people. However, despite notable progress, a…
cs.CV2026
GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways
Soudeep Ghoshal, Himanshu Buckchash
Deep ConvNets suffer from gradient signal degradation as network depth increases, limiting effective feature learning in complex architectures. ResNet addressed this through residu…