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Elia Bruni
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Journal Articles
- 2020
- [j5]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? J. Artif. Intell. Res. 67: 757-795 (2020) - 2017
- [j4]Korsuk Sirinukunwattana
, Josien P. W. Pluim, Hao Chen
, Xiaojuan Qi, Pheng-Ann Heng
, Yun Bo Guo
, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu
, Philipp Kainz, Michael Pfeiffer, Martin Urschler
, David R. J. Snead, Nasir M. Rajpoot
:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - 2015
- [j3]Andrew J. Anderson, Elia Bruni, Alessandro Lopopolo, Massimo Poesio
, Marco Baroni:
Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. NeuroImage 120: 309-322 (2015) - [j2]Andreza Sartori, Victoria Yanulevskaya, Almila Akdag Salah
, Jasper R. R. Uijlings, Elia Bruni, Nicu Sebe
:
Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory. ACM Trans. Interact. Intell. Syst. 5(2): 8:1-8:27 (2015) - 2014
- [j1]Elia Bruni, Nam-Khanh Tran, Marco Baroni:
Multimodal Distributional Semantics. J. Artif. Intell. Res. 49: 1-47 (2014)
Conference and Workshop Papers
- 2024
- [c32]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Interpretability of Language Models via Task Spaces. ACL (1) 2024: 4522-4538 - [c31]Kristina Kobrock, Xenia Isabel Ohmer, Elia Bruni, Nicole Gotzner:
Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction. LREC/COLING 2024: 3831-3848 - 2023
- [c30]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoNLL 2023: 294-313 - 2022
- [c29]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL (1) 2022: 4154-4175 - [c28]Xenia Ohmer, Marko Duda, Elia Bruni:
Emergence of Hierarchical Reference Systems in Multi-agent Communication. COLING 2022: 5689-5706 - 2021
- [c27]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. EACL 2021: 2049-2060 - [c26]Gautier Dagan
, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. EACL 2021: 2993-3004 - 2020
- [c25]Arie Soeteman, E. Dario Gutiérrez, Elia Bruni, Ekaterina Shutova:
Modelling Form-Meaning Systematicity with Linguistic and Visual Features. AAAI 2020: 8870-8877 - [c24]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. ACL 2020: 403-413 - [c23]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. EMNLP (1) 2020: 3339-3359 - [c22]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency. EMNLP (Findings) 2020: 4428-4437 - [c21]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). IJCAI 2020: 5065-5069 - 2019
- [c20]Janosch Haber
, Tim Baumgärtner
, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. ACL (1) 2019: 1895-1910 - [c19]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. BlackboxNLP@ACL 2019: 1-11 - [c18]Joris Baan, Jana Leible, Mitja Nikolaus
, David Rau, Dennis Ulmer, Tim Baumgärtner
, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. BlackboxNLP@ACL 2019: 127-137 - [c17]Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni:
Learning to request guidance in emergent language. LANTERN@EMNLP-IJCNLP 2019: 41-50 - [c16]Rezka Leonandya, Dieuwke Hupkes, Elia Bruni, Germán Kruszewski:
The Fast and the Flexible: Training Neural Networks to Learn to Follow Instructions from Small Data. IWCS (1) 2019: 223-234 - [c15]Ravi Shekhar
, Aashish Venkatesh, Tim Baumgärtner
, Elia Bruni, Barbara Plank, Raffaella Bernardi, Raquel Fernández:
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat. NAACL-HLT (1) 2019: 2578-2587 - [c14]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing Incrementality in Sequence-to-Sequence Models. RepL4NLP@ACL 2019: 209-217 - 2018
- [c13]Ravi Shekhar, Tim Baumgärtner, Aashish Venkatesh, Elia Bruni, Raffaella Bernardi, Raquel Fernández:
Ask No More: Deciding when to guess in referential visual dialogue. COLING 2018: 1218-1233 - [c12]Gabriele Bani, Davide Belli, Gautier Dagan, Alexander Geenen, Andrii Skliar, Aashish Venkatesh, Tim Baumgärtner, Elia Bruni, Raquel Fernández:
Adding Object Detection Skills to Visual Dialogue Agents. ECCV Workshops (4) 2018: 180-187 - 2017
- [c11]Elia Bruni, Raquel Fernández:
Adversarial evaluation for open-domain dialogue generation. SIGDIAL Conference 2017: 284-288 - 2014
- [c10]Angeliki Lazaridou, Elia Bruni, Marco Baroni:
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. ACL (1) 2014: 1403-1414 - [c9]Fabio Celli, Elia Bruni, Bruno Lepri:
Automatic Personality and Interaction Style Recognition from Facebook Profile Pictures. ACM Multimedia 2014: 1101-1104 - 2013
- [c8]Elia Bruni, Marco Baroni:
Visual Features for Linguists: Basic image analysis techniques for multimodally-curious NLPers. ACL (Tutorial Abstracts) 2013: 1 - [c7]Elia Bruni, Ulisse Bordignon, Adam Liska, Jasper R. R. Uijlings, Irina Sergienya:
VSEM: An open library for visual semantics representation. ACL (Conference System Demonstrations) 2013: 187-192 - [c6]Andrew J. Anderson, Elia Bruni, Ulisse Bordignon, Massimo Poesio, Marco Baroni:
Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts. EMNLP 2013: 1960-1970 - 2012
- [c5]Elia Bruni, Gemma Boleda, Marco Baroni, Nam-Khanh Tran:
Distributional Semantics in Technicolor. ACL (1) 2012: 136-145 - [c4]Victoria Yanulevskaya, Jasper R. R. Uijlings, Elia Bruni, Andreza Sartori, Elisa Zamboni
, Francesca Bacci, David Melcher
, Nicu Sebe
:
In the eye of the beholder: employing statistical analysis and eye tracking for analyzing abstract paintings. ACM Multimedia 2012: 349-358 - [c3]Elia Bruni, Jasper R. R. Uijlings, Marco Baroni, Nicu Sebe
:
Distributional semantics with eyes: using image analysis to improve computational representations of word meaning. ACM Multimedia 2012: 1219-1228 - [c2]Elia Bruni, Alessio Ferrari
, Norbert Seyff, Gabriele Tolomei
:
Automatic Analysis of Multimodal Requirements: A Research Preview. REFSQ 2012: 218-224 - 2011
- [c1]Elia Bruni, Giang Binh Tran, Marco Baroni:
Distributional semantics from text and images. GEMS 2011: 22-32
Informal and Other Publications
- 2024
- [i30]Xenia Ohmer, Elia Bruni, Dieuwke Hupkes:
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency. CoRR abs/2404.12145 (2024) - [i29]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Interpretability of Language Models via Task Spaces. CoRR abs/2406.06441 (2024) - [i28]Michael Kaup, Cornelius Wolff, Hyerim Hwang, Julius Mayer, Elia Bruni:
A Review of Nine Physics Engines for Reinforcement Learning Research. CoRR abs/2407.08590 (2024) - 2023
- [i27]Xenia Ohmer, Elia Bruni, Dieuwke Hupkes:
Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses. CoRR abs/2305.11662 (2023) - [i26]Lucas Weber, Jaap Jumelet, Paul Michel, Elia Bruni, Dieuwke Hupkes:
Curriculum Learning with Adam: The Devil Is in the Wrong Details. CoRR abs/2308.12202 (2023) - [i25]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoRR abs/2310.13486 (2023) - [i24]Serwan Jassim, Mario Holubar, Annika Richter, Cornelius Wolff, Xenia Ohmer, Elia Bruni:
GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models. CoRR abs/2311.09048 (2023) - [i23]Lucas Weber, Elia Bruni, Dieuwke Hupkes:
The ICL Consistency Test. CoRR abs/2312.04945 (2023) - 2022
- [i22]Xenia Ohmer, Marko Duda, Elia Bruni:
Emergence of hierarchical reference systems in multi-agent communication. CoRR abs/2203.13176 (2022) - 2021
- [i21]Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes:
Language Modelling as a Multi-Task Problem. CoRR abs/2101.11287 (2021) - [i20]Verna Dankers, Elia Bruni, Dieuwke Hupkes:
The paradox of the compositionality of natural language: a neural machine translation case study. CoRR abs/2108.05885 (2021) - 2020
- [i19]Thomas A. Unger, Elia Bruni:
Incentivizing the Emergence of Grounded Discrete Communication Between General Agents. CoRR abs/2001.01772 (2020) - [i18]Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Co-evolution of language and agents in referential games. CoRR abs/2001.03361 (2020) - [i17]Michiel van der Meer, Matteo Pirotta, Elia Bruni:
Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning. CoRR abs/2001.04418 (2020) - [i16]Bence Keresztury, Elia Bruni:
Compositional properties of emergent languages in deep learning. CoRR abs/2001.08618 (2020) - [i15]Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes, Elia Bruni:
Internal and external pressures on language emergence: least effort, object constancy and frequency. CoRR abs/2004.03868 (2020) - [i14]Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes:
The Grammar of Emergent Languages. CoRR abs/2010.02069 (2020) - 2019
- [i13]Kris Korrel, Dieuwke Hupkes, Verna Dankers, Elia Bruni:
Transcoding compositionally: using attention to find more generalizable solutions. CoRR abs/1906.01234 (2019) - [i12]Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. CoRR abs/1906.01530 (2019) - [i11]Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni:
On the Realization of Compositionality in Neural Networks. CoRR abs/1906.01634 (2019) - [i10]Dennis Ulmer, Dieuwke Hupkes, Elia Bruni:
Assessing incrementality in sequence-to-sequence models. CoRR abs/1906.03293 (2019) - [i9]Mathijs Mul, Diane Bouchacourt, Elia Bruni:
Mastering emergent language: learning to guide in simulated navigation. CoRR abs/1908.05135 (2019) - [i8]Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni:
The compositionality of neural networks: integrating symbolism and connectionism. CoRR abs/1908.08351 (2019) - [i7]Yann Dubois, Gautier Dagan, Dieuwke Hupkes, Elia Bruni:
Location Attention for Extrapolation to Longer Sequences. CoRR abs/1911.03872 (2019) - [i6]Benjamin Kolb, Leon Lang
, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni:
Learning to Request Guidance in Emergent Communication. CoRR abs/1912.05525 (2019) - 2018
- [i5]Ravi Shekhar, Tim Baumgärtner, Aashish Venkatesh, Elia Bruni, Raffaella Bernardi, Raquel Fernández:
Ask No More: Deciding when to guess in referential visual dialogue. CoRR abs/1805.06960 (2018) - [i4]Dieuwke Hupkes, Anand Singh, Kris Korrel, Germán Kruszewski, Elia Bruni:
Learning compositionally through attentive guidance. CoRR abs/1805.09657 (2018) - [i3]Aashish Venkatesh, Ravi Shekhar, Tim Baumgärtner, Elia Bruni, Raffaella Bernardi, Raquel Fernández:
Jointly Learning to See, Ask, and GuessWhat. CoRR abs/1809.03408 (2018) - [i2]Rezka Leonandya, Elia Bruni, Dieuwke Hupkes, Germán Kruszewski:
The Fast and the Flexible: training neural networks to learn to follow instructions from small data. CoRR abs/1809.06194 (2018) - 2016
- [i1]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016)
Coauthor Index
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