Giacomo Camposampiero

According to our database, Giacomo Camposampiero authored at least 18 papers between 2022 and 2025.

Collaborative distances:

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

2025

Scalable Evaluation and Neural Models for Compositional Generalization.

Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer, Abbas Rahimi

CoRR, November, 2025

I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models.

Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi

CoRR, October, 2025

Author Correction: Kernel approximation using analogue in-memory computing.

Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian

Nat. Mac. Intell., 2025

Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?

Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip.

Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Giacomo Camposampiero, Lionel Noussi, William Andrew Simon, Manuel Le Gallo, Abu Sebastian

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages.

Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi

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

2024

Kernel approximation using analogue in-memory computing.

Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian

Nat. Mac. Intell., 2024

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning.

Michael Hersche, Giacomo Camposampiero, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi

CoRR, 2024

Kernel Approximation using Analog In-Memory Computing.

Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian

CoRR, 2024

Limits of Transformer Language Models on Learning Algorithmic Compositions.

Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi

CoRR, 2024

Limits of Transformer Language Models on Learning to Compose Algorithms.

Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Terminating Differentiable Tree Experts.

Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf, Abbas Rahimi

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Towards Learning Abductive Reasoning Using VSA Distributed Representations.

Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian, Abbas Rahimi

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.

Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2023

Visual Abstraction and Reasoning through Language.

Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer

CoRR, 2023

Abstract Visual Reasoning Enabled by Language.

Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The effectiveness of factorization and similarity blending.

Andrea Pinto, Giacomo Camposampiero, Loïc Houmard, Marc Lundwall

CoRR, 2022

The Curious Case of Logistic Regression for Italian Languages and Dialects Identification.

Giacomo Camposampiero, Quynh Anh Nguyen, Francesco Di Stefano

Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects, 2022