Giacomo Camposampiero
Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 97
ETH Zurich
Gloriastrasse 35
8092 Zurich
Switzerland
Publications
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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 and Abbas Rahimi.
5th Workshop on Mathematical Reasoning and AI (MATH-AI@NeurIPS), San Diego, California, USA, December 2025.
BibTeX -
Scalable Evaluation and Neural Models for Compositional Generalization
Giacomo Camposampiero, Pietro Barbiero, Michael Hersche, Roger Wattenhofer and Abbas Rahimi.
39th Conference on Neural Information Processing Systems (NeurIPS), San Diego, California, USA, December 2025.
BibTeX -
Can Large Reasoning Models do Analogical Reasoning under Perceptual Uncertainty?
Giacomo Camposampiero, Michael Hersche, Roger Wattenhofer, Abu Sebastian and Abbas Rahimi.
19th International Conference on Neurosymbolic Learning and Reasoning (NeSy), Santa Cruz, California, USA, September 2025.
External BibTeX -
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian and Abbas Rahimi.
39th Annual Conference on Artificial Intelligence (AAAI), Philadelphia, Pennsylvania, USA, April 2025.
External BibTeX -
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
Michael Hersche, Giacomo Camposampiero, Roger Wattenhofer, Abu Sebastian and Abbas Rahimi.
1st Workshop on Neural Reasoning and Mathematical Discovery (NEURMAD@AAAI25), Philadelphia, USA, March 2025.
BibTeX -
Kernel approximation using analogue in-memory computing
Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi and Abu Sebastian.
Nature Machine Intelligence, December 2024.
External BibTeX -
Limits of Transformer Language Models on Learning to Compose Algorithms
Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf and Abbas Rahimi.
38th Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2024.
External BibTeX -
Terminating Differentiable Tree Experts
Jonathan Thomm, Michael Hersche, Giacomo Camposampiero, Aleksandar Terzic, Bernhard Schölkopf and Abbas Rahimi.
18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy), Barcelona, Spain, September 2024.
External BibTeX -
Towards Learning Abductive Reasoning using VSA Distributed Representations (Spotlight)
Giacomo Camposampiero, Michael Hersche, Aleksandar Terzic, Roger Wattenhofer, Abu Sebastian and Abbas Rahimi.
18th International Conference on Neural-Symbolic Learning and Reasoning (NeSy), Barcelona, Spain, September 2024.
External BibTeX -
Abstract Visual Reasoning Enabled by Language
Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys and Roger Wattenhofer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2023.
External BibTeX
Theses & Labs
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| Title | Type | Contact/Supervisor | Assigned | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | An Investigation into the Limits of Tiny Recursive Model Reasoning | M/S | Giacomo Camposampiero, David Jenny | available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current Theses & Labs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Title | Type | Contact/Supervisor | Assigned | Student(s) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
 | Label-Free Compositional Generalization | B | Giacomo Camposampiero, Antonio Di Maio | FS 26 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Probabilistic Attribute Invariant Networks and Compositionally-Weighted Conformal Prediciton for Uncertainty Quantification in Compositional Learning | S | Giacomo Camposampiero, Antonio Di Maio | FS 26 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||