3 citations · 5 across the 10 of their papers we have counts for
11 papers
Subliminal Clocks: Latent Time Modelling in Diffusion Language Models
Maximo Eduardo Rulli, Thomas Vaitses Fontanari, Simone Petruzzi +9
Diffusion Language Models (DLMs) have recently emerged as a promising alternative to autoregressive models. Unlike standard diffusion-based approaches, DLMs are not explicitly cond…
kindling: A Higher-Level torch Interface for Generating, Training, and Tuning Neural Networks in R
Antoine Soetewey, Joshua Marie
{kindling} is an R package that provides a higher-level interface to {torch}, R's native implementation of PyTorch, for defining, training, and tuning neural networks. It supports…
EUGens: Efficient, Unified, and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish +7
Efficient neural networks are essential for scaling machine learning models to real-time applications and resource-constrained environments. Fully-connected feedforward layers (FFL…
UVOIR spectrum, X-ray emission, and proper motion of the isolated neutron star RX J2143.0+0654
George G. Pavlov, Vadim Abramkin, B. Posselt
We observed the isolated neutron star RX J2143.0+0654 with the Hubble Space Telescope (HST) in the UVOIR wavelength range (0.14-1.7 m). The UV part is consistent with a Rayleigh…
Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark
Rajmund Nagy, Hendric Voss, Thanh Hoang-Minh +18
We review human evaluation practices in automatic, speech-driven 3D gesture generation and find a lack of standardisation and frequent use of flawed experimental setups. This leads…
SoK: Advances and Open Problems in Web Tracking
Yash Vekaria, Yohan Beugin, Shaoor Munir +11
Web tracking is a pervasive and opaque practice that enables personalized advertising, retargeting, and conversion tracking. Over time, it has evolved into a sophisticated and inva…