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ORCIDClaudiu Cristian Musat
Claudiu Musat
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- affiliation: AI Lab, Swisscom AG, Lausanne, Switzerland
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2020 – today
- 2024
[c41]Lei Shi
, Rachel Campbell, Peggy Chi, Maria Cirimele, Mike Cleron, Kirsten Climer, Chelsey Q. Fleming, Ashwin Ganti, Philippe Gervais, Pedro Gonnet, Tayeb A Karim, Andrii Maksai, Chris Melancon, Rob Mickle, Claudiu Musat, Palash Nandy, Xiaoyu Iris Qu, David Robishaw, Angad Singh, Mathangi Venkatesan:
Inkeraction: An Interaction Modality Powered by Ink Recognition and Synthesis. CHI 2024: 181:1-181:26- [i37]Blagoj Mitrevski, Arina Rak, Julian Schnitzler, Chengkun Li, Andrii Maksai, Jesse Berent, Claudiu Musat:
InkSight: Offline-to-Online Handwriting Conversion by Learning to Read and Write. CoRR abs/2402.05804 (2024) - [i36]Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai, Mark Collier, Efi Kokiopoulou, Jesse Berent, Claudiu Musat:
Representing Online Handwriting for Recognition in Large Vision-Language Models. CoRR abs/2402.15307 (2024) - 2023
- [c40]Michael Jungo, Beat Wolf, Andrii Maksai, Claudiu Musat, Andreas Fischer:
Character Queries: A Transformer-Based Approach to On-line Handwritten Character Segmentation. ICDAR (1) 2023: 98-114 - [c39]Andrei Afonin, Andrii Maksai, Aleksandr Timofeev, Claudiu Musat:
Sampling and Ranking for Digital Ink Generation on a Tight Computational Budget. ICDAR (4) 2023: 131-146 - [c38]Aleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin, Claudiu Musat, Andrii Maksai:
DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split Generation. ICDAR (4) 2023: 217-235 - [i35]Andrei Afonin, Andrii Maksai, Aleksandr Timofeev, Claudiu Musat:
Sampling and Ranking for Digital Ink Generation on a tight computational budget. CoRR abs/2306.03103 (2023) - [i34]Michael Jungo, Beat Wolf, Andrii Maksai, Claudiu Musat, Andreas Fischer:
Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation. CoRR abs/2309.03072 (2023) - [i33]Aleksandr Timofeev, Anastasiia Fadeeva, Andrei Afonin, Claudiu Musat, Andrii Maksai:
DSS: Synthesizing long Digital Ink using Data augmentation, Style encoding and Split generation. CoRR abs/2311.17786 (2023) - 2022
- [i32]Andrii Maksai, Henry A. Rowley, Jesse Berent, Claudiu Musat:
Inkorrect: Online Handwriting Spelling Correction. CoRR abs/2202.13794 (2022) - 2021
- [c37]Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Target Variables from Documents. AAAI 2021: 12507-12515 - [c36]Diego Antognini, Claudiu Musat, Boi Faltings:
Interacting with Explanations through Critiquing. IJCAI 2021: 515-521 - [c35]Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. Perspectives@RecSys 2021 - [c34]Blagoj Mitrevski, Milena Filipovic, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Momentum-based Gradient Methods in Multi-Objective Recommendation. MORS@RecSys 2021 - [c33]Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing fairness in classification with a model-agnostic multi-objective algorithm. UAI 2021: 600-609 - [c32]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefiting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. WACV 2021: 1589-1598 - [i31]Arthur Gassner, Claudiu Musat, Alexandru Rusu, Andreas Burg:
OpenCSI: An Open-Source Dataset for Indoor Localization Using CSI-Based Fingerprinting. CoRR abs/2104.07963 (2021) - [i30]Martin Milenkoski, Diego Antognini, Claudiu Musat:
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts. CoRR abs/2104.12822 (2021) - 2020
- [j1]Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from multitask learning to improve single image super-resolution. Neurocomputing 398: 304-313 (2020) - [c31]Giuseppe Russo, Nora Hollenstein, Claudiu Cristian Musat, Ce Zhang:
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. EMNLP (Findings) 2020: 351-366 - [c30]Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating The Search Phase of Neural Architecture Search. ICLR 2020 - [c29]Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Cristian Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. LREC 2020: 2706-2711 - [c28]Larissa Schmidt, Lucy Linder, Sandra Djambazovska, Alexandros Lazaridis, Tanja Samardzic, Claudiu Musat:
A Swiss German Dictionary: Variation in Speech and Writing. LREC 2020: 2720-2725 - [i29]Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat:
Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR abs/2001.00846 (2020) - [i28]Guillaume Raille, Sandra Djambazovska, Claudiu Musat:
Fast Cross-domain Data Augmentation through Neural Sentence Editing. CoRR abs/2003.10254 (2020) - [i27]Larissa Schmidt, Lucy Linder, Sandra Djambazovska, Alexandros Lazaridis, Tanja Samardzic, Claudiu Musat:
A Swiss German Dictionary: Variation in Speech and Writing. CoRR abs/2004.00139 (2020) - [i26]Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang:
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation. CoRR abs/2004.14983 (2020) - [i25]Diego Antognini, Claudiu Musat, Boi Faltings:
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR abs/2005.11067 (2020) - [i24]Mohammad Saeed Rad, Thomas Yu, Claudiu Musat, Hazim Kemal Ekenel, Behzad Bozorgtabar, Jean-Philippe Thiran:
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution. CoRR abs/2007.03053 (2020) - [i23]Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR abs/2009.04441 (2020) - [i22]Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR abs/2009.04695 (2020) - [i21]Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR abs/2009.08978 (2020)
2010 – 2019
- 2019
- [c27]Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat:
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. CoNLL 2019: 890-899 - [c26]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-model Forgetting. ICML 2019: 594-603 - [c25]Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling. SDS 2019: 57-62 - [i20]Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann:
Evaluating the Search Phase of Neural Architecture Search. CoRR abs/1902.08142 (2019) - [i19]Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat:
Overcoming Multi-Model Forgetting. CoRR abs/1902.08232 (2019) - [i18]Khalil Mrini, Claudiu Musat, Michael Baeriswyl, Martin Jaggi:
Structure Tree-LSTM: Structure-aware Attentional Document Encoders. CoRR abs/1902.09713 (2019) - [i17]Meryem M'hamdi, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings. CoRR abs/1903.09878 (2019) - [i16]Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling. CoRR abs/1903.12157 (2019) - [i15]Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat, Urs-Viktor Marti, Max Basler, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Benefiting from Multitask Learning to Improve Single Image Super-Resolution. CoRR abs/1907.12488 (2019) - [i14]Noémien Kocher, Christian Scuito, Lorenzo Tarantino, Alexandros Lazaridis, Andreas Fischer, Claudiu Musat:
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes. CoRR abs/1909.08700 (2019) - [i13]Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Reviews. CoRR abs/1909.11386 (2019) - [i12]Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer:
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. CoRR abs/1912.00159 (2019) - 2018
- [c24]Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media. CoNLL 2018: 161-170 - [c23]Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl, Martin Jaggi:
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings. CoNLL 2018: 221-229 - [c22]Bojan Petrovski, Ignacio Aguado, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Embedding Individual Table Columns for Resilient SQL Chatbots. SCAI@EMNLP 2018: 67-73 - [c21]Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces. ICLR (Workshop) 2018 - [c20]Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossmann, Michael Baeriswyl:
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings. IJCAI 2018: 4019-4025 - [c19]Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning. IJCAI 2018: 4115-4121 - [c18]Pierre-Edouard Honnet, Andrei Popescu-Belis, Claudiu Musat, Michael Baeriswyl:
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German. LREC 2018 - [i11]Kamil Bennani-Smires, Claudiu Musat, Martin Jaggi, Andreea Hossmann, Michael Baeriswyl:
EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings. CoRR abs/1801.04470 (2018) - [i10]Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining. CoRR abs/1801.05159 (2018) - [i9]Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning. CoRR abs/1802.00500 (2018) - [i8]Mladen Dimovski, Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Submodularity-inspired Data Selection for Goal-oriented Chatbot Training based on Sentence Embeddings. CoRR abs/1802.00757 (2018) - [i7]André Cibils, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Diverse Beam Search for Increased Novelty in Abstractive Summarization. CoRR abs/1802.01457 (2018) - [i6]David Dao, Dan Alistarh, Claudiu Musat, Ce Zhang:
DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation. CoRR abs/1802.04780 (2018) - [i5]Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos, Robert West, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media. CoRR abs/1808.08432 (2018) - [i4]Bojan Petrovski, Ignacio Aguado, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Embedding Individual Table Columns for Resilient SQL Chatbots. CoRR abs/1811.00633 (2018) - 2017
- [c17]Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. ICDM Workshops 2017: 373-380 - [c16]Athanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. WASSA@EMNLP 2017: 180-188 - [i3]Athanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. CoRR abs/1709.05094 (2017) - [i2]Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. CoRR abs/1709.09220 (2017) - [i1]Pierre-Edouard Honnet, Andrei Popescu-Belis, Claudiu Musat, Michael Baeriswyl:
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German. CoRR abs/1710.11035 (2017) - 2015
- [c15]Claudiu Cristian Musat, Boi Faltings:
Personalizing Product Rankings Using Collaborative Filtering on Opinion-Derived Topic Profiles. IJCAI 2015: 830-836 - 2014
- [c14]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation. AAAI 2014: 901-907 - [c13]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose. CICLing (2) 2014: 32-44 - [c12]Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
Semi-Supervised Method for Multi-category Emotion Recognition in Tweets. ICDM Workshops 2014: 393-402 - [c11]Renato Kempter, Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets. ICWSM 2014 - [c10]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Acquiring commonsense knowledge for sentiment analysis using human computation. WWW (Companion Volume) 2014: 225-226 - 2013
- [c9]Claudiu Cristian Musat, Boi Faltings:
A Novel Human Computation Game for Critique Aggregation. AAAI (Late-Breaking Developments) 2013 - [c8]Claudiu Cristian Musat, Yizhong Liang, Boi Faltings:
Recommendation Using Textual Opinions. IJCAI 2013: 2684-2690 - [c7]Claudiu Cristian Musat, Boi Faltings, Philippe Rousille:
Direct Negative Opinions in Online Discussions. SocialCom 2013: 142-147 - [c6]Marina Boia, Boi Faltings, Claudiu Cristian Musat, Pearl Pu:
A : ) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets. SocialCom 2013: 345-350 - [c5]Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation. WASSA@NAACL-HLT 2013: 12-20 - 2012
- [c4]Claudiu Cristian Musat, Alireza Ghasemi, Boi Faltings:
Sentiment Analysis Using a Novel Human Computation Game. PWNLP@ACL 2012: 1-9 - 2011
- [c3]Claudiu Cristian Musat, Julien Velcin, Stefan Trausan-Matu, Marian-Andrei Rizoiu:
Improving Topic Evaluation Using Conceptual Knowledge. IJCAI 2011: 1866-1871 - [c2]Claudiu Cristian Musat, Julien Velcin, Marian-Andrei Rizoiu, Stefan Trausan-Matu:
Concept-Based Topic Model Improvement. ISMIS Industrial Session 2011: 133-142 - 2010
- [c1]Claudiu Cristian Musat, Stefan Trausan-Matu:
The Impact of Valence Shifters on Mining Implicit Economic Opinions. AIMSA 2010: 131-140
Coauthor Index
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