Meta-Transfer-Learning for Tabular Data Distillation, Generation, and Predictive Modeling Read more about Meta-Transfer-Learning for Tabular Data Distillation, Generation, and Predictive Modeling
Molecular engineering of metal/low-k interfaces for Cu interconnects Read more about Molecular engineering of metal/low-k interfaces for Cu interconnects
Fast Inference and Alignment for Large Multi-modal Models Read more about Fast Inference and Alignment for Large Multi-modal Models
Associative Energy-based Diffusion Models for Generative AI Read more about Associative Energy-based Diffusion Models for Generative AI
Optimization of Hardware-based Neural Network Accelerators for Fluorescence Lifetime in Biomedical Applications Read more about Optimization of Hardware-based Neural Network Accelerators for Fluorescence Lifetime in Biomedical Applications
Validation of multiscale 3D chiplet stack thermal model with temperature-dependent materials through 3w measurements Read more about Validation of multiscale 3D chiplet stack thermal model with temperature-dependent materials through 3w measurements
Discovering topological materials for BEOL interconnects using first-principles calculations and machine learning Read more about Discovering topological materials for BEOL interconnects using first-principles calculations and machine learning
Closing the Accuracy Gap in Analog In-memory Training: Device-dependent Algorithms and Hyperparameter Search Read more about Closing the Accuracy Gap in Analog In-memory Training: Device-dependent Algorithms and Hyperparameter Search
Low-precision Distributed Accelerated Methods and Library Development for Training and Fine-tuning Foundation Models Read more about Low-precision Distributed Accelerated Methods and Library Development for Training and Fine-tuning Foundation Models
Key-Value Cache Compression for Memory-Efficient Large Language Model Inference Read more about Key-Value Cache Compression for Memory-Efficient Large Language Model Inference
