1 citations · 1 across the 4 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
Improving Transformers using Faithful Positional Encoding
Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen
We propose a new positional encoding method for a neural network architecture called the Transformer. Unlike the standard sinusoidal positional encoding, our approach is based on s…
cs.LG2024
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis
Tsuyoshi Idé, Dzung T. Phan, Rudy Raymond
This paper presents two methodological advancements in decentralized multi-task learning under privacy constraints, aiming to pave the way for future developments in next-generatio…
cs.LG2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
Dongxia Wu, Tsuyoshi Idé, Aurélie Lozano +5
We address the problem of learning Granger causality from asynchronous, interdependent, multi-type event sequences. In particular, we are interested in discovering instance-level c…