Publications

Newest first. * marks equal contribution. Citations are on Google Scholar and the record is on dblp.

Papers

NeurIPS 2026

GeoPhys: The Geometry of Physical Plausibility

C. Internò, A. Pondaven, H. Issa, F. Pizzati, F. Pinto, M. Olhofer, I. Laptev, P. Torr, E. P. Simoncelli, B. Hammer, D. Klindt

arXiv code data project page

@inproceedings{interno2026geophys,
  title = {{GeoPhys}: The Geometry of Physical Plausibility},
  author = {Intern{\`o}, Christian and Pondaven, Alexander and Issa, Habon and Pizzati, Fabio and Pinto, Francesco and Olhofer, Markus and Laptev, Ivan and Torr, Philip and Simoncelli, Eero P. and Hammer, Barbara and Klindt, David},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2026}
}

First on both Physics‑IQ video‑to‑video leaderboards

NeurIPS 2026

Is a Linear Probe Evidence of a Linear Representation?

N. Kutluozen*, C. Internò*, D. Klindt

arXiv

@inproceedings{kutluozen2026linear,
  title = {Is a Linear Probe Evidence of a Linear Representation?},
  author = {Kutluozen, Nadir and Intern{\`o}, Christian and Klindt, David},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2026}
}

IoT-J 2026

Pruning Federated Models Through Loss Landscape Analysis and Client Agreement Scoring

C. Internò, E. Raponi, M. Olhofer, A. Raza, T. Bäck, N. van Stein, Y. Jin, B. Hammer

IEEE Internet of Things Journaljournal arXiv code

@article{interno2026pruning,
  title = {Pruning Federated Models Through Loss Landscape Analysis and Client Agreement Scoring},
  author = {Intern{\`o}, Christian and Raponi, Elena and Olhofer, Markus and Raza, Ali and B{\"a}ck, Thomas and van Stein, Niki and Jin, Yaochu and Hammer, Barbara},
  journal = {IEEE Internet of Things Journal},
  volume = {13},
  number = {14},
  pages = {31283--31293},
  year = {2026},
  doi = {10.1109/JIOT.2026.3686028}
}

Oral at the NeurIPS 2024 workshop FL@FM

AAAI-W 2026

PPFLex: Securing Non-IID Optimization in Federated Learning via MPC

N. Yuca, C. Internò, N. Matyunin, M. Olhofer, B. Hammer, S. Katzenbeisser

AAAI 2026 Workshop on Federated Learning for Critical Applications

@inproceedings{yuca2026ppflex,
  title = {{PPFLex}: Securing {Non-IID} Optimization in Federated Learning via {MPC}},
  author = {Yuca, Nergiz and Intern{\`o}, Christian and Matyunin, Nikolay and Olhofer, Markus and Hammer, Barbara and Katzenbeisser, Stefan},
  booktitle = {AAAI 2026 Workshop on Federated Learning for Critical Applications},
  year = {2026}
}

NeurIPS 2025

AI-Generated Video Detection via Perceptual Straightening

C. Internò, R. Geirhos, M. Olhofer, S. Liu, B. Hammer, D. Klindt

arXiv code

@inproceedings{interno2025restrav,
  title = {{AI-Generated} Video Detection via Perceptual Straightening},
  author = {Intern{\`o}, Christian and Geirhos, Robert and Olhofer, Markus and Liu, Sunny and Hammer, Barbara and Klindt, David},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2025}
}

Cited in a forensic report by Hany Farid

NeurIPS-W 2025

The Narcissus Hypothesis: Descending to the Rung of Illusion

R. Cadei*, C. Internò*

NeurIPS 2025 Workshop on Evaluating the Evolving LLM LifecyclearXiv

@inproceedings{cadei2025narcissus,
  title = {The Narcissus Hypothesis: Descending to the Rung of Illusion},
  author = {Cadei, Riccardo and Intern{\`o}, Christian},
  booktitle = {NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle},
  year = {2025}
}

IJCNN 2024

Federated Loss Exploration for Improved Convergence on Non-IID Data

C. Internò, M. Olhofer, Y. Jin, B. Hammer

paper arXiv code

@inproceedings{interno2024fedlex,
  title = {Federated Loss Exploration for Improved Convergence on {Non-IID} Data},
  author = {Intern{\`o}, Christian and Olhofer, Markus and Jin, Yaochu and Hammer, Barbara},
  booktitle = {2024 International Joint Conference on Neural Networks (IJCNN)},
  year = {2024},
  doi = {10.1109/IJCNN60899.2024.10651455}
}

Preprints

arXiv 2026

MotionJEPA: Preventing Temporal Feature Collapse by Capturing Visual Changes in Latent Space

M. Karmann*, S. Li*, C. Internò, B. Andreis, D. Klindt, R. Balestriero, J. Gu, P. Torr, Q. Zhang, P.-T. Jiang, H. Zhang, B. Li, O. Urfalioglu

arXiv

@article{karmann2026motionjepa,
  title = {{MotionJEPA}: Preventing Temporal Feature Collapse by Capturing Visual Changes in Latent Space},
  author = {Karmann, Markus and Li, Shile and Intern{\`o}, Christian and Andreis, Bruno and Klindt, David and Balestriero, Randall and Gu, Jindong and Torr, Philip and Zhang, Qi and Jiang, Peng-Tao and Zhang, Hao and Li, Bo and Urfalioglu, Onay},
  journal = {arXiv preprint arXiv:2609.23881},
  year = {2026}
}

arXiv 2026

Procedural Core: A Compact Recurrent Initialization for Vision Transformers

Z. Shinnick, C. Internò, H. Saratchandran, A. van den Hengel, D. Teney

arXiv

@article{shinnick2026procedural,
  title = {Procedural Core: A Compact Recurrent Initialization for Vision Transformers},
  author = {Shinnick, Zachary and Intern{\`o}, Christian and Saratchandran, Hemanth and van den Hengel, Anton and Teney, Damien},
  journal = {arXiv preprint arXiv:2609.37631},
  year = {2026}
}

arXiv 2026

The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics

C. Internò, J. Yamaguchi, L. Amdahl-Culleton, M. Olhofer, D. Klindt, B. Hammer

arXiv

@article{interno2026observer,
  title = {The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics},
  author = {Intern{\`o}, Christian and Yamaguchi, Jumpei and Amdahl-Culleton, Loren and Olhofer, Markus and Klindt, David and Hammer, Barbara},
  journal = {arXiv preprint arXiv:2602.12218},
  year = {2026}
}

arXiv 2026

FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios

A. Moleri*, C. Internò*, A. Raza, M. Olhofer, D. Klindt, F. Stella, B. Hammer

arXiv

@article{moleri2026federatedfactory,
  title = {{FederatedFactory}: Generative {One-Shot} Learning for Extremely {Non-IID} Distributed Scenarios},
  author = {Moleri, Andrea and Intern{\`o}, Christian and Raza, Ali and Olhofer, Markus and Klindt, David and Stella, Fabio and Hammer, Barbara},
  journal = {arXiv preprint arXiv:2603.16370},
  year = {2026}
}

arXiv 2025

Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation

C. Internò, A. Castellani, S. Schmitt, F. Stella, B. Hammer

arXiv dataset

@article{interno2025industrial,
  title = {Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation},
  author = {Intern{\`o}, Christian and Castellani, Andrea and Schmitt, Sebastian and Stella, Fabio and Hammer, Barbara},
  journal = {arXiv preprint arXiv:2506.20525},
  year = {2025}
}

Patents

Inventor on two European patent applications from my work at the Honda Research Institute.