20 citations · 41 across the 5 of their papers we have counts for
5 papers
Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion Transformers
Dongseong Hwang, Prasanth Yadla, Kaan Elgin +8
Siri Expressive Voices synthesize rich, configurable speech in real time and entirely on device, powered by AFM 3 Core Advanced, Apple's most powerful on-device foundation model. T…
Towards Low-bit Communication for Tensor Parallel LLM Inference
Harry Dong, Tyler Johnson, Minsik Cho +1
Tensor parallelism provides an effective way to increase server large language model (LLM) inference efficiency despite adding an additional communication cost. However, as server…
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets
Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson +2
In many applications in engineering and sciences analysts have simultaneous access to multiple data sources. In such cases, the overall cost of acquiring information can be reduced…
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu +1
When using large-batch training to speed up stochastic gradient descent, learning rates must adapt to new batch sizes in order to maximize speed-ups and preserve model quality. Re-…
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems
Tyler B. Johnson, Carlos Guestrin
By reducing optimization to a sequence of smaller subproblems, working set algorithms achieve fast convergence times for many machine learning problems. Despite such performance, w…