From the 1 of 5 linked papers with an AI index.
5 papers
From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs
Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5
The paper introduces an analytical, calibrated method to estimate the energy consumption of large language model inference on NVIDIA H100 GPUs without direct power measurements, se…
STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations
Boyang Fu, George Dasoulas, Sameer Gabbita +5
Predicting how genetic perturbations change cellular state is a core problem for building controllable models of gene regulation. Perturbations targeting the same gene can produce…
TopoBench: A Framework for Benchmarking Topological Deep Learning
Lev Telyatnikov, Guillermo Bernardez, Marco Montagna +34
This work introduces TopoBench, an open-source library designed to standardize benchmarking and accelerate research in topological deep learning (TDL). TopoBench decomposes TDL int…
Carbon Footprint Evaluation of Code Generation through LLM as a Service
Tina Vartziotis, Maximilian Schmidt, George Dasoulas +7
Due to increased computing use, data centers consume and emit a lot of energy and carbon. These contributions are expected to rise as big data analytics, digitization, and large AI…
E(n) Equivariant Topological Neural Networks
Claudio Battiloro, Ege KaraismailoÄlu, Mauricio Tec +3
Graph neural networks excel at modeling pairwise interactions, but they cannot flexibly accommodate higher-order interactions and features. Topological deep learning (TDL) has emer…