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Antonio Norelli
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2020 – today
- 2023
- [j1]Antonio Norelli, Alessandro Panconesi:
Olivaw: Mastering Othello Without Human Knowledge, nor a Fortune. IEEE Trans. Games 15(2): 285-291 (2023) - [c8]Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. Tiny Papers @ ICLR 2023 - [c7]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. ICLR 2023 - [c6]Ahmedeo Shokry, Antonio Norelli:
Learning Rotation-Agnostic Representations via Group Equivariant VAEs. Tiny Papers @ ICLR 2023 - [c5]Béatrice Biancardi, Enrico Lauletta, Antonio Norelli, Alessandro Panconesi, Maurizio Mancini:
Errare humanum est, perseverare autem diabolicum: A Follow-Up Study on the Human-Likeness of an AI Othello Player. IVA 2023: 36:1-36:3 - [c4]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. NeurIPS 2023 - [c3]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. NeurIPS 2023 - [i8]Irene Cannistraci, Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Emanuele Rodolà:
Bootstrapping Parallel Anchors for Relative Representations. CoRR abs/2303.00721 (2023) - [i7]Valentino Maiorca, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, Emanuele Rodolà:
Latent Space Translation via Semantic Alignment. CoRR abs/2311.00664 (2023) - 2022
- [c2]Enrico Lauletta, Béatrice Biancardi, Antonio Norelli, Maurizio Mancini, Alessandro Panconesi:
Errare humanum est?: a pilot study to evaluate the human-likeness of a AI othello playing agent. IVA 2022: 27:1-27:3 - [i6]Antonio Norelli, Giorgio Mariani, Luca Moschella, Andrea Santilli, Giambattista Parascandolo, Simone Melzi, Emanuele Rodolà:
Explanatory Learning: Beyond Empiricism in Neural Networks. CoRR abs/2201.10222 (2022) - [i5]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i4]Luca Moschella, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, Emanuele Rodolà:
Relative representations enable zero-shot latent space communication. CoRR abs/2209.15430 (2022) - [i3]Antonio Norelli, Marco Fumero, Valentino Maiorca, Luca Moschella, Emanuele Rodolà, Francesco Locatello:
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training. CoRR abs/2210.01738 (2022) - 2021
- [i2]Antonio Norelli, Alessandro Panconesi:
OLIVAW: Mastering Othello with neither Humans nor a Penny. CoRR abs/2103.17228 (2021) - 2020
- [c1]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) 2020: 19-35 - [i1]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR abs/2003.12283 (2020)
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