Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layersby Freya Behrens, Luca…
Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasetsby Camillo Maria…
DeepGate3: Towards Scalable Circuit Representation Learningby Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min…
Static and multivariate-temporal attentive fusion transformer for readmission risk predictionby Zhe Sun, Runzhi Li, Jing…
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conceptionby Phillip Mueller,…
Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariatesby Gang Su, Sun…
Generating In-store Customer Journeys from Scratch with GPT Architecturesby Taizo Horikomi, Takayuki MizunoFirst submitted to…
DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMsby Zhen Tan, Daize Dong, Xinyu…
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoTby Tianheng Ling, Chao Qian, Gregor…
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representationsby Walter Simoncini, Spyros Gidaris, Andrei…