Francesca Dominici

According to our database, Francesca Dominici authored at least 24 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Statistical Framework for Algorithmic Collective Action with Multiple Collectives.

Claudio Battiloro, Pietro Greiner, Dario Rancati, Bret Nestor, Oumaima Amezgar, Francesca Dominici

CoRR, May, 2026

Consistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheaves.

Kartik Tandon, Julian Gould, Tanishq Bhatia, Francesca Dominici, Alejandro Ribeiro, Claudio Battiloro

CoRR, May, 2026

2025

Guided Transfer Learning for Discrete Diffusion Models.

Julian Kleutgens, Claudio Battiloro, Lingkai Kong, Benjamin Grewe, Francesca Dominici, Mauricio Tec

CoRR, December, 2025

Algorithmic Collective Action with Multiple Collectives.

Claudio Battiloro, Pietro Greiner, Bret Nestor, Oumaima Amezgar, Francesca Dominici

CoRR, August, 2025

Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding.

Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro

CoRR, May, 2025

Artificial intelligence for modelling infectious disease epidemics.

Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang, Spyros Lytras, Mark P. Khurana, Samantha Vanderslott, Sumali Bajaj, Neil Scheidwasser, Jacob Liam Curran-Sebastian, Elizaveta Semenova, Mengyan Zhang, H. Juliette T. Unwin, Oliver J. Watson, Cathal Mills, Abhishek Dasgupta, Luca Ferretti, Samuel V. Scarpino, Etien Koua, Oliver Morgan, Houriiyah Tegally, Ulrich Paquet, Loukas Moutsianas, Christophe Fraser, Neil M. Ferguson, Eric J. Topol, David A. Duchêne, Tanja Stadler, Patricia Kingori, Michael J. Parker, Francesca Dominici, Nigel Shadbolt, Marc A. Suchard, Oliver Ratmann, Seth R. Flaxman, Edward C. Holmes, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Christl A. Donnelly, Oliver G. Pybus, Simon Cauchemez, Samir Bhatt

Nat., February, 2025

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents.

Mauricio Tec, Guojun Xiong, Haichuan Wang, Francesca Dominici, Milind Tambe

CoRR, February, 2025

Quantum Simplicial Neural Networks.

Simone Piperno, Claudio Battiloro, Andrea Ceschini, Francesca Dominici, Paolo Di Lorenzo, Massimo Panella

CoRR, January, 2025

E(n) Equivariant Topological Neural Networks.

Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec, George Dasoulas, Michelle Audirac, Francesca Dominici

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Higher-Order Topological Directionality and Directed Simplicial Neural Networks.

Manuel Lecha, Andrea Cavallo, Francesca Dominici, Elvin Isufi, Claudio Battiloro

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Optimizing Heat Alert Issuance with Reinforcement Learning.

Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Air quality disparities mapper: An open-source web application for environmental justice.

Ethan McFarlin, Falco J. Bargagli Stoffi, Edgar Castro, Joel Schwartz, Francesca Dominici, Heresh Amini

Environ. Model. Softw., 2024

Environmental Burden of United States Data Centers in the Artificial Intelligence Era.

Gianluca Guidi, Francesca Dominici, Jonathan Gilmour, Kevin Butler, Eric Bell, Scott Delaney, Falco J. Bargagli Stoffi

CoRR, 2024

Towards a Health-Based Power Grid Optimization in the Artificial Intelligence Era.

Claudio Battiloro, Gianluca Guidi, Falco J. Bargagli Stoffi, Francesca Dominici

CoRR, 2024

Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US.

Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SpaCE: The Spatial Confounding Environment.

Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Kate Hu, Naeem Khoshnevis, Francesca Dominici

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Optimizing Heat Alert Issuance for Public Health in the United States with Reinforcement Learning.

Ellen M. Considine, Rachel C. Nethery, Gregory A. Wellenius, Francesca Dominici, Mauricio Tec

CoRR, 2023

Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US.

Mauricio Tec, Oladimeji Mudele, Kevin Josey, Francesca Dominici

CoRR, 2023

2021

Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States.

Tanujit Dey, Jaechoul Lee, Sounak Chakraborty, Jay Chandra, Anushka Bhaskar, Kenneth Zhang, Anchal Bhaskar, Francesca Dominici

Patterns, 2021

2019

Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions.

Fei Jiang, Guosheng Yin, Francesca Dominici

ACM Trans. Knowl. Discov. Data, 2019

All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.

Aaron Fisher, Cynthia Rudin, Francesca Dominici

J. Mach. Learn. Res., 2019

2018

aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution.

M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat

CoRR, 2018

Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors.

Fei Jiang, Guosheng Yin, Francesca Dominici

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution.

M. Benjamin Sabath, Qian Di, Danielle Braun, Joel Schwartz, Francesca Dominici, Christine Choirat

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018