Pasquale Minervini

203 papers A* 24A 6B 7C 5Misc 6Journal 112Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Uncertainty Reveals Agentic Overconfidence.
CoRR
Jean Kaddour, Srijan Patel, Gbètondji J.-S. Dovonon, Leo Richter, Pasquale Minervini, Matt J. Kusner
2026 — conf
Analyzing LLM Instruction Optimization for Tabular Fact Verification.
EACL (Findings)
Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway
2026 J jnl
Analyzing LLM Instruction Optimization for Tabular Fact Verification.
CoRR
Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway
2026 J jnl
Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning.
CoRR
Chaeeun Lee, T. Michael Yates, Pasquale Minervini, T. Ian Simpson
2026 J jnl
Rethinking the Harmonic Loss via Non-Euclidean Distance Layers.
CoRR
Maxwell Miller-Golub, Collin Coil, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
2026 J jnl
Same Answer, Different Representations: Hidden instability in VLMs.
CoRR
Farooq Ahmad Wani, Alessandro Suglia, Rohit Saxena, Aryo Pradipta Gema, Wai-Chung Kwan, Fazl Barez, Maria Sofia Bucarelli, Fabrizio Silvestri, Pasquale Minervini
2026 J jnl
Tensor factorization for temporal knowledge graph forecasting.
Neurocomputing
Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito
2026 J jnl
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models.
CoRR
Rohit Saxena, Alessandro Suglia, Pasquale Minervini
2025 A* conf
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference.
AAAI
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
2025 J jnl
Adaptive layer and token selection for efficient fine-tuning of vision transformers.
Neurocomputing
Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2025 J jnl
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering.
CoRR
Alexander Murphy, Mohd Sanad Zaki Rizvi, Aden Haussmann, Ping Nie, Guifu Liu, Aryo Pradipta Gema, Pasquale Minervini
2025 A* conf
An Auditing Test to Detect Behavioral Shift in Language Models.
ICLR
Leo Richter, Xuanli He, Pasquale Minervini, Matt J. Kusner
2025 — conf
Are We Done with MMLU?
NAACL (Long Papers)
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini
2025 — conf
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations.
EMNLP (Findings)
Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Alexander Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran
2025 — conf
Enhancing Long Document Long Form Summarisation with Self-Planning.
IJCNLP-AACL (Short Papers)
Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov
2025 J jnl
Enhancing Long Document Long Form Summarisation with Self-Planning.
CoRR
Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov
2025 A* conf
FLARE: Faithful Logic-Aided Reasoning and Exploration.
EMNLP
Erik Arakelyan, Pasquale Minervini, Patrick S. H. Lewis, Pat Verga, Isabelle Augenstein
2025 J jnl
Fast and Expressive Multi-Token Prediction with Probabilistic Circuits.
CoRR
Andreas Grivas, Lorenzo Loconte, Emile van Krieken, Piotr Nawrot, Yu Zhao, Euan Wielewski, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari
2025 J jnl
GRADA: Graph-based Reranker against Adversarial Documents Attack.
CoRR
Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu
2025 A* conf
GRADA: Graph-based Reranking against Adversarial Documents Attack.
EMNLP
Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu
2025 J jnl
Inverse Scaling in Test-Time Compute.
CoRR
Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez
2025 J jnl
Inverse Scaling in Test-Time Compute.
Trans. Mach. Learn. Res.
Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez
2025 A* conf
Is Complex Query Answering Really Complex?
ICML
Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari
2025 J jnl
Learning GUI Grounding with Spatial Reasoning from Visual Feedback.
CoRR
Yu Zhao, Wei-Ning Chen, Huseyin A. Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
2025 J jnl
Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs.
CoRR
Rohit Saxena, Aryo Pradipta Gema, Pasquale Minervini
2025 J jnl
Low-Rank Compression of Language Models via Differentiable Rank Selection.
CoRR
Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini
2025 J jnl
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly.
CoRR
Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Y. Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman
2025 J jnl
MedSyn: Enhancing Diagnostics with Human-AI Collaboration.
CoRR
Burcu Sayin, Ipek Baris Schlicht, Ngoc Vo Hong, Sara Allievi, Jacopo Staiano, Pasquale Minervini, Andrea Passerini
2025 — conf
Mixtures of In-Context Learners.
ACL (1)
Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini
2025 J jnl
Neurosymbolic Diffusion Models.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2025 C conf
Neurosymbolic Reasoning Shortcuts under the Independence Assumption.
NeSy
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2025 J jnl
Neurosymbolic Reasoning Shortcuts under the Independence Assumption.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo Maria Ponti, Antonio Vergari
2025 J jnl
Noiser: Bounded Input Perturbations for Attributing Large Language Models.
CoRR
Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Gabriele Sarti, Yu Zhao, Pasquale Minervini, Andrea Passerini
2025 J jnl
OpenSIR: Open-Ended Self-Improving Reasoner.
CoRR
Wai-Chung Kwan, Joshua Ong Jun Leang, Pavlos Vougiouklis, Jeff Z. Pan, Marco Valentino, Pasquale Minervini
2025 — conf
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization.
IJCNLP-AACL (Findings)
Rohit Saxena, Pasquale Minervini, Frank Keller
2025 J jnl
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization.
CoRR
Rohit Saxena, Pasquale Minervini, Frank Keller
2025 J jnl
Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression.
CoRR
Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric de la Clergerie, Benoît Sagot
2025 — conf
Self-Training Large Language Models for Tool-Use Without Demonstrations.
NAACL (Findings)
Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini
2025 J jnl
Self-Training Large Language Models for Tool-Use Without Demonstrations.
CoRR
Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini
2025 A conf
SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction.
CIKM
Felice Antonio Merra, Kristian Skracic, Daniele Malitesta, Jacek Golebiowski, Pasquale Minervini
2025 — conf
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.
NAACL (Long Papers)
Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini
2025 B conf
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
COLING
Gayane Ghazaryan, Erik Arakelyan, Isabelle Augenstein, Pasquale Minervini
2025 — conf
TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.
ACL (Findings)
Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
2025 J jnl
Universal Properties of Activation Sparsity in Modern Large Language Models.
CoRR
Filip Szatkowski, Patryk Bedkowski, Alessio Devoto, Jan Dubinski, Pasquale Minervini, Mikolaj Piórczynski, Simone Scardapane, Bartosz Wójcik
2025 A* conf
When Can Proxies Improve the Sample Complexity of Preference Learning?
ICML
Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt J. Kusner, Alexander Nicholas D'Amour
2025 J jnl
With Great Backbones Comes Great Adversarial Transferability.
CoRR
Erik Arakelyan, Karen Hambardzumyan, Davit Papikyan, Pasquale Minervini, Albert Gordo, Isabelle Augenstein, Aram H. Markosyan
2024 J jnl
A Simple and Effective L
CoRR
Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
2024 A* conf
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression.
EMNLP
Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
2024 J jnl
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning.
CoRR
Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2024 J jnl
Aligning Generalisation Between Humans and Machines.
CoRR
Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024 J jnl
An Auditing Test To Detect Behavioral Shift in Language Models.
CoRR
Leo Richter, Xuanli He, Pasquale Minervini, Matt J. Kusner
2024 — conf
Analysing The Impact of Sequence Composition on Language Model Pre-Training.
ACL (1)
Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini
2024 J jnl
Analysing The Impact of Sequence Composition on Language Model Pre-Training.
CoRR
Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini
2024 J jnl
Analysing the Residual Stream of Language Models Under Knowledge Conflicts.
CoRR
Yu Zhao, Xiaotang Du, Giwon Hong, Aryo Pradipta Gema, Alessio Devoto, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini
2024 J jnl
Answerability in Retrieval-Augmented Open-Domain Question Answering.
CoRR
Rustam Abdumalikov, Pasquale Minervini, Yova Kementchedjhieva
2024 J jnl
Are We Done with MMLU?
CoRR
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini
2024 A* conf
Atomic Inference for NLI with Generated Facts as Atoms.
EMNLP
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
2024 J jnl
Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models.
CoRR
Georgy Tyukin, Gbètondji J.-S. Dovonon, Jean Kaddour, Pasquale Minervini
2024 — conf
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain.
ClinicalNLP@NAACL
Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
2024 J jnl
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain.
CoRR
Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
2024 J jnl
Conditional computation in neural networks: Principles and research trends.
Intelligenza Artificiale
Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
2024 J jnl
Conditional computation in neural networks: principles and research trends.
CoRR
Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
2024 J jnl
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations.
CoRR
Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran
2024 J jnl
Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction.
CoRR
Daniele Malitesta, Alberto Carlo Maria Mancino, Pasquale Minervini, Tommaso Di Noia
2024 — conf
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints.
ClinicalNLP@NAACL
Aryo Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Ian Simpson, Beatrice Alex
2024 J jnl
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints.
CoRR
Aryo Pradipta Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Ian Simpson, Beatrice Alex
2024 — conf
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4.
SemEval@NAACL
Aryo Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex
2024 J jnl
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4.
CoRR
Aryo Pradipta Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex
2024 J jnl
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models.
CoRR
Simon Chi Lok U, Jie He, Pasquale Minervini, Jeff Z. Pan
2024 J jnl
FLARE: Faithful Logic-Aided Reasoning and Exploration.
CoRR
Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein
2024 J jnl
FairBelief - Assessing Harmful Beliefs in Language Models.
CoRR
Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini, Debora Nozza
2024 J jnl
Forklift: An Extensible Neural Lifter.
CoRR
Jordi Armengol-Estapé, Rodrigo C. O. Rocha, Jackson Woodruff, Pasquale Minervini, Michael F. P. O'Boyle
2024 J jnl
Fostering effective hybrid human-LLM reasoning and decision making.
Frontiers Artif. Intell.
Andrea Passerini, Aryo Gema, Pasquale Minervini, Burcu Sayin, Katya Tentori
2024 J jnl
Is Complex Query Answering Really Complex?
CoRR
Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari
2024 J jnl
Large language models surpass human experts in predicting neuroscience results.
CoRR
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
2024 J jnl
Mixtures of In-Context Learners.
CoRR
Giwon Hong, Emile van Krieken, Edoardo M. Ponti, Nikolay Malkin, Pasquale Minervini
2024 A* conf
On the Independence Assumption in Neurosymbolic Learning.
ICML
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024 J jnl
On the Independence Assumption in Neurosymbolic Learning.
CoRR
Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
2024 — conf
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain.
ClinicalNLP@NAACL
Aryo Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex
2024 — conf
Probing the Emergence of Cross-lingual Alignment during LLM Training.
ACL (Findings)
Hetong Wang, Pasquale Minervini, Edoardo M. Ponti
2024 J jnl
Probing the Emergence of Cross-lingual Alignment during LLM Training.
CoRR
Hetong Wang, Pasquale Minervini, Edoardo M. Ponti
2024 — conf
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
ACL (1)
Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini
2024 J jnl
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.
CoRR
Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini
2024 J jnl
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages.
CoRR
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2024 J jnl
The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.
CoRR
Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini
2024 J jnl
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.
CoRR
Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
2024 A* conf
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
EMNLP
Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2024 J jnl
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
CoRR
Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang
2024 — conf
Using Natural Language Explanations to Improve Robustness of In-context Learning.
ACL (1)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2024 J jnl
When Can Proxies Improve the Sample Complexity of Preference Learning?
CoRR
Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Alexander D'Amour, Matt J. Kusner
2023 J jnl
Adapting Neural Link Predictors for Complex Query Answering.
CoRR
Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
2023 A* conf
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.
NeurIPS
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
2023 J jnl
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference.
CoRR
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
2023 A* conf
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models.
AAAI
Pasquale Minervini, Luca Franceschi, Mathias Niepert
2023 J jnl
Approximate Answering of Graph Queries.
CoRR
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 — ch.
Approximate Answering of Graph Queries.
Compendium of Neurosymbolic Artificial Intelligence
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 A conf
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs.
CIKM
Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova
2023 J jnl
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks.
CoRR
Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, Piyush Borole, Javier Antonio Alfaro, Pasquale Minervini, Antonio Vergari, Ajitha Rajan
2023 J jnl
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.
CoRR
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
2023 B conf
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient.
IJCNN
Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek
2023 A* conf
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.
NeurIPS
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
2023 J jnl
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.
CoRR
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
2023 J jnl
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain.
CoRR
Aryo Pradipta Gema, Luke Daines, Pasquale Minervini, Beatrice Alex
2023 B conf
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization.
CoNLL
Mohammad Reza Ghasemi Madani, Pasquale Minervini
2023 J jnl
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization.
CoRR
Mohammad Reza Ghasemi Madani, Pasquale Minervini
2023 J jnl
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
CoRR
Jesus Solano, Oana-Maria Camburu, Pasquale Minervini
2023 J jnl
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.
J. Biomed. Informatics
Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek
2023 J jnl
Temporal Smoothness Regularisers for Neural Link Predictors.
CoRR
Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito
2023 J jnl
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.
CoRR
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2023 — conf
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking.
EACL (Findings)
Han Zhou, Ignacio Iacobacci, Pasquale Minervini
2022 J jnl
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models.
CoRR
Pasquale Minervini, Luca Franceschi, Mathias Niepert
2022 A* conf
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.
EMNLP
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022 J jnl
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks.
CoRR
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022 A* conf
Complex Query Answering with Neural Link Predictors (Extended Abstract).
IJCAI
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
2022 J jnl
Differentiable Reasoning over Long Stories - Assessing Systematic Generalisation in Neural Models.
CoRR
Wanshui Li, Pasquale Minervini
2022 Misc conf
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients.
AMIA
Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek
2022 J jnl
Learning Discrete Directed Acyclic Graphs via Backpropagation.
CoRR
Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi
2022 C conf
Learning Proof Path Selection Policies in Neural Theorem Proving.
NeSy
Matthew Morris, Pasquale Minervini, Phil Blunsom
2022 J jnl
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models.
CoRR
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei
2022 A* conf
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.
EMNLP
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei
2022 J jnl
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients.
CoRR
Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
2022 J jnl
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction.
CoRR
Saadullah Amin, Pasquale Minervini, David Chang, Günter Neumann, Pontus Stenetorp
2022 B conf
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction.
COLING
Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann
2022 A* conf
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
NeurIPS
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022 J jnl
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
CoRR
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2022 J jnl
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking.
CoRR
Han Zhou, Ignacio Iacobacci, Pasquale Minervini
2021 J jnl
A Probabilistic Framework for Knowledge Graph Data Augmentation.
CoRR
Jatin Chauhan, Priyanshu Gupta, Pasquale Minervini
2021 C conf
Backpropagating through Markov Logic Networks.
NeSy
Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt
2021 A* conf
Complex Query Answering with Neural Link Predictors.
ICLR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2021 A conf
First Workshop on Knowledge Injection in Neural Networks (KINN).
CIKM
Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy
2021 A conf
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
AAMAS
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021 J jnl
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
CoRR
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021 A* conf
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions.
NeurIPS
Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021 J jnl
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions.
CoRR
Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021 — ch.
Learning Reasoning Strategies in End-to-End Differentiable Proving.
Neuro-Symbolic Artificial Intelligence
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2021 J jnl
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
CoRR
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021 — conf
Neural Concept Formation in Knowledge Graphs.
AKBC
Agnieszka Dobrowolska, Antonio Vergari, Pasquale Minervini
2021 Misc conf
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.
AMIA
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
2021 J jnl
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.
CoRR
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021 J jnl
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.
Trans. Assoc. Comput. Linguistics
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021 — conf
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations.
AKBC
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021 J jnl
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations.
CoRR
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021 A conf
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.
EACL
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
2021 J jnl
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.
CoRR
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
2021 — conf
TRIPLEx: Triple Extraction for Explanation.
CogMI
Mattia Setzu, Anna Monreale, Pasquale Minervini
2021 — conf
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints.
ACL/IJCNLP (2)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2021 J jnl
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints.
CoRR
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020 — conf
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
EMNLP (1)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020 J jnl
Complex Query Answering with Neural Link Predictors.
CoRR
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
2020 A* conf
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
AAAI
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020 — ch.
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
Knowledge Graphs for eXplainable Artificial Intelligence
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2020 — conf
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.
SustaiNLP@EMNLP
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2020 — conf
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.
EMNLP (1)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020 J jnl
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering.
CoRR
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020 J jnl
Knowledge Graph Embeddings and Explainable AI.
CoRR
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
2020 — ch.
Knowledge Graph Embeddings and Explainable AI.
Knowledge Graphs for eXplainable Artificial Intelligence
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
2020 A* conf
Learning Reasoning Strategies in End-to-End Differentiable Proving.
ICML
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020 J jnl
Learning Reasoning Strategies in End-to-End Differentiable Proving.
CoRR
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
2020 A* conf
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
ACL
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2020 — conf
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.
NeurIPS (Competition and Demos)
Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020 J jnl
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
CoRR
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
2020 — conf
Undersensitivity in Neural Reading Comprehension.
EMNLP (Findings)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2020 J jnl
Undersensitivity in Neural Reading Comprehension.
CoRR
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
2020 J jnl
WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
2019 J jnl
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
CoRR
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
2019 Misc conf
Embedding cardinality constraints in neural link predictors.
SAC
Emir Muñoz, Pasquale Minervini, Matthias Nickles
2019 J jnl
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
CoRR
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2019 — conf
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
ACL (1)
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
2019 J jnl
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
CoRR
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
2019 — conf
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty.
NeSy@IJCAI
Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
2019 J jnl
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings.
CoRR
Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
2018 J jnl
Adaptive Knowledge Propagation in Web Ontologies.
ACM Trans. Web
Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi
2018 B conf
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.
CoNLL
Pasquale Minervini, Sebastian Riedel
2018 J jnl
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.
CoRR
Pasquale Minervini, Sebastian Riedel
2018 A* conf
Convolutional 2D Knowledge Graph Embeddings.
AAAI
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Embedding Cardinality Constraints in Neural Link Predictors.
CoRR
Emir Muñoz, Pasquale Minervini, Matthias Nickles
2018 J jnl
Extrapolation in NLP.
CoRR
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2018 — conf
Jack the Reader - A Machine Reading Framework.
ACL (4)
Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Jack the Reader - A Machine Reading Framework.
CoRR
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel
2018 J jnl
Towards Neural Theorem Proving at Scale.
CoRR
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel
2017 A conf
Adversarial Sets for Regularising Neural Link Predictors.
UAI
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017 J jnl
Adversarial Sets for Regularising Neural Link Predictors.
CoRR
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
2017 J jnl
Convolutional 2D Knowledge Graph Embeddings.
CoRR
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2017 — conf
Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms.
ECML/PKDD (1)
Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche
2016 — conf
A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews.
(KNOW@LOD/CoDeS)@ESWC
Semih Yumusak, Emir Muñoz, Pasquale Minervini, Erdogan Dogdu, Halife Kodaz
2016 J jnl
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies.
J. Data Semant.
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
2016 J jnl
Efficient energy-based embedding models for link prediction in knowledge graphs.
J. Intell. Inf. Syst.
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
2016 Misc conf
Leveraging the schema in latent factor models for knowledge graph completion.
SAC
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2015 — conf
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs.
URSW@ISWC
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2015 C conf
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion.
ICMLA
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
2014 A* conf
A Gaussian Process Model for Knowledge Propagation in Web Ontologies.
ICDM
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2014 B conf
Adaptive Knowledge Propagation in Web Ontologies.
EKAW
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2014 — conf
Graph-Based Regularization for Transductive Class-Membership Prediction.
URSW (LNCS Vol.)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2014 — conf
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness.
URSW (LNCS Vol.)
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2014 — conf
Learning to Propagate Knowledge in Web Ontologies.
URSW
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp
2013 Misc conf
Rank prediction for semantically annotated resources.
SAC
Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
2013 B conf
Transductive Inference for Class-Membership Propagation in Web Ontologies.
ESWC
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
2012 — conf
A Graph Regularization Based Approach to Transductive Class-Membership Prediction.
URSW
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
2012 — conf
Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships.
CILC
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
2012 Misc conf
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge.
SAC
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
2012 J jnl
Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees.
Int. J. Semantic Comput.
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Pasquale Minervini
2011 — conf
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge.
URSW
Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi
2010 C conf
Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?
ICGSE
Fabio Calefato, Filippo Lanubile, Pasquale Minervini