Follow
Alberto Olmo
Alberto Olmo
PhD in Computer Science
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
Large language models still can't plan (a benchmark for llms on planning and reasoning about change)
K Valmeekam, A Olmo, S Sreedharan, S Kambhampati
arXiv preprint arXiv:2206.10498, 2022
2142022
Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses
N Jain, A Olmo, S Sengupta, L Manikonda, S Kambhampati
Artificial Intelligence 304, 103652, 2022
77*2022
GPT3-to-plan: Extracting plans from text using GPT-3
A Olmo, S Sreedharan, S Kambhampati
arXiv preprint arXiv:2106.07131, 2021
55*2021
Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change
K Valmeekam, M Marquez, A Olmo, S Sreedharan, S Kambhampati
Advances in Neural Information Processing Systems 36, 2024
452024
Model-free model reconciliation
S Sreedharan, A Olmo, AP Mishra, S Kambhampati
arXiv preprint arXiv:1903.07198, 2019
382019
Towards understanding user preferences for explanation types in model reconciliation
Z Zahedi, A Olmo, T Chakraborti, S Sreedharan, S Kambhampati
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019
252019
Not all failure modes are created equal: Training deep neural networks for explicable (mis) classification
A Olmo, S Sengupta, S Kambhampati
arXiv preprint arXiv:2006.14841, 2020
72020
Physics-driven convolutional autoencoder approach for CFD data compressions
A Olmo, A Zamzam, A Glaws, R King
arXiv preprint arXiv:2210.09262, 2022
22022
On the planning abilities of large language models (a critical investigation with a proposed benchmark)
K Valmeekam, S Sreedharan, M Marquez, A Olmo, S Kambhampati
arXiv preprint arXiv:2302.06706, 2023
2023
Analyzing Failure Modes of Inscrutable Machine Learning Models
AO Hernandez
Arizona State University, 2022
2022
Extensió del Plugin de Sintonització de Paràmetres MPI de l'eina PTF
A Olmo Hernández
Autoregressive Density Estimation in Latent Spaces
A Olmo Hernández
University of Colorado Colorado Springs. Kraemer Family Library, 0
The system can't perform the operation now. Try again later.
Articles 1–12