2 citations · 3 across the 7 of their papers we have counts for
10 papers
RDSE: Real-Time Directional Speech Enhancement Framework for Dual-Mic Commodity Smartphones
Chinmay Deo, Danish Mahajan, Soudeep Ghoshal +1
Audio-visual zooming on mobile devices is fundamentally constrained by limited microphone count, compute resource, unknown array geometry, and weak assumptions on real-world acoust…
PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman +1
Out-of-Distribution (OOD) data poses a significant threat to machine learning models, often leading to model failure during deployment. All existing OOD detection methods are post-…
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…
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…
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…
Applications and Challenges of AI and Microscopy in Life Science Research: A Review
Himanshu Buckchash, Gyanendra Kumar Verma, Dilip K. Prasad
The complexity of human biology and its intricate systems holds immense potential for advancing human health, disease treatment, and scientific discovery. However, traditional manu…
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs
Himanshu Buckchash, Momojit Biswas, Rohit Agarwal +1
Handling haphazard streaming data, such as data from edge devices, presents a challenging problem. Over time, the incoming data becomes inconsistent, with missing, faulty, or new i…
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language
Ronny Paul, Himanshu Buckchash, Shantipriya Parida +1
Sámi, an indigenous language group comprising multiple languages, faces digital marginalization due to the limited availability of data and sophisticated language models designed f…
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad
Nearest neighbor (NN) sampling provides more semantic variations than pre-defined transformations for self-supervised learning (SSL) based image recognition problems. However, its…
Latent Graph Attention for Enhanced Spatial Context
Ayush Singh, Yash Bhambhu, Himanshu Buckchash +2
Global contexts in images are quite valuable in image-to-image translation problems. Conventional attention-based and graph-based models capture the global context to a large exten…