• Intensionality was only alleged: on adjective-noun composition in distributional semantics

  Boleda, Gemma; Baroni, Marco; Pham, Nghia The; McNally, Louise (ACL (Association for Computational Linguistics), 2013)

  Distributional semantics has very successfully modeled semantic phenomena at the word level, and recently interest has grown in extending it to capture the meaning of phrases via semantic composition. We present experiments ...
• Modified conjugate beamforming for cell-free massive MIMO

  Attarifar, Masoud; Abbasfar, Aliazam; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We present a modification of conjugate beamforming for the forward link of cell-free massive MIMO networks. This modification eliminates the self-interference and yields a performance that, without forward pilots, closely ...
• Distribution of the number of users per base station in cellular networks

  George, Geordie; Lozano Solsona, Angel; Haenggi, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We consider the number of users associating with each base station in a cellular network. Extending and unifying the characterizations for certain settings available in the literature, we derive a result that is asymptotic ...
• Automatic playlist continuation using a hybrid recommender system combining features from text and audio

  Ferraro, Andrés; Bogdanov, Dmitry; Yoon, Jisang; Kim, KwangSeob; Serra, Xavier (ACM Association for Computer Machinery, 2018)

  The ACM RecSys Challenge 2018 focuses on music recommendation in the context of automatic playlist continuation. In this paper, we describe our approach to the problem and the final hybrid system that was submitted to the ...
• Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions

  Gong, Rong; Serra, Xavier (International Speech Communication Association (ISCA), 2018)

  In this paper, we tackle the singing voice phoneme segmentation problem in the singing training scenario by using language independent information – onset and prior coarse duration. We propose a two-step method. In the ...
• A Machine learning approach to discover rules for expressive performance actions in jazz guitar music

  Giraldo, Sergio; Ramírez, Rafael,1966- (Frontiers, 2016)

  Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance ...
• Bowing modeling for violin students assistance

  Ortega, Fabio J. M.; Giraldo, Sergio; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)

  Though musicians tend to agree on the importance of practicing expressivity in performance, not many tools and techniques are available for the task. A machine learning model is proposed for predicting bowing velocity ...
• Monetary policy and bank lending in developing countries: loan applications, rates, and real effects

  Abuka, Charles; Alinda, Ronnie K; Minoiu, Camelia; Peydró, José-Luis; Presbitero, Andrea F. (Elsevier, 2019)
• Macroprudential and monetary policy: loan-level evidence from reserve requirements

  Dassatti Camors, Cecilia; Peydró, José-Luis; Rodriguez-Tous, Francesc (2019)

  We analyze the impact of reserve requirements on the supply of credit to the real sector. For identification, we exploit a tightening of reserve requirements in Uruguay during a global capital in ows boom, where the change ...
• Negative monetary policy rates and portfolio rebalancing: evidence from credit register data

  Bottero, Margherita; Minoiu, Camelia; Peydró, José-Luis; Polo, Andrea; Presbitero, Andrea F.; Sette, Enrico (2019)

  We study negative interest rate policy (NIRP) exploiting ECB’s NIRP introduction and administrative data from Italy, severely hit by the Eurozone crisis. NIRP has expansionary effects on credit supply—and hence the real ...
• Hedger of last resort: evidence from Brazilian FX interventions, local credit, and global financial cycles

  Gonzalez, Rodrigo Barbone; Khametshin, Dmitry; Peydró, José- Luis; Polo, Andrea (2019)

  We show that local central bank policies attenuate global financial cycle (GFC)’s spillovers. For identification, we exploit GFC shocks and Brazilian interventions in FX derivatives using three matched administrative ...
• Burning money? Government lending in a credit crunch

  Jiménez, Gabriel; Peydró, José-Luis; Repullo, Rafael; Saurina, Jesús (2018)

  We analyze a small, new credit facility of a Spanish state-owned-bank during the crisis, using its continuous credit scoring system, firm-level scores, and credit register data. Compared to privately-owned banks, the ...
• Do demand or supply factors drive bank credit, in good and crisis times?

  Jiménez, Gabriel; Ongena, Steven; Peydró, José-Luis; Saurina, Jesús (2017)

  We analyze the impact of balance-sheet strength on credit availability. Bank balance sheets are weak in crisis times, but so are those of firms, and credit demand is then also weak. For identification, we exploit an ...
• International financial integration, crises and monetary policy: evidence from euro area interbank crises

  Abbassi, Puriya; Bräuning, Falk; Fecht, Falko; Peydró, José-Luis (2018)

  We analyze how international financial integration is affected by the recent financial and sovereign crises, exploiting euro-area proprietary interbank data, crisis and monetary shocks, and loan terms to the same borrower ...
• Anticipating the financial crisis: evidence from insider trading in banks

  Akin, Ozlem; Marín, José M.; Peydró, José-Luis (2019)

  Banking crises are recurrent phenomena, often induced by excessive bank risk-taking, which may be due to behavioral reasons (over-optimistic banks neglecting risks) and to agency problems between bank shareholders with ...
• The rise of shadow banking: evidence from capital regulation

  Irani, Rustom M.; Iyer, Rajkamal; Meisenzahl, Ralf R.; Peydró, José-Luis (2018)

  We investigate the connections between bank capital regulation and the prevalence of lightly regulated nonbanks (shadow banks) in the U.S. corporate loan market. For identification, we exploit a supervisory credit register ...
• From finance to fascism: the real effect of Germany’s 1931 banking crisis

  Doerr, Sebastian; Gissler, Stefan; Peydró, José-Luis; Voth, Hans-Joachim (2019)

  Do financial crises radicalize voters? We analyze a canonical case – Germany during the Great Depression. After a severe banking crisis in 1931, caused by foreign shocks and political inaction, radical voting increased ...
• Semantic image inpainting through improved Wasserstein generative adversarial networks

  Vitoria, Patricia; Sintes Marcos, Joan; Ballester, Coloma (SCITEPRESS, 2019)

  Image inpainting is the task of filling-in missing regions of a damaged or incomplete image. In this work we tackle this problem not only by using the available visual data but also by incorporating image semantics through ...
• Network events on multiple space and time scales in cultured neural networks and in a stochastic rate model

  Gigante, Guido; Deco, Gustavo; Marom, Shimon; Del Giudice, Paolo (Public Library of Science (PLoS), 2015)

  Cortical networks, in-vitro as well as in-vivo, can spontaneously generate a variety of collective dynamical events such as network spikes, UP and DOWN states, global oscillations, and avalanches. Though each of them has ...
• Random vs structured pilot assignment in cell-free massive MIMO wireless networks

  Attarifar, Masoud; Abbasfar, Aliazam; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  This paper addresses the performance improvement that structured pilot assignment policies can bring about, relative to a random pilot assignment, in cell-free massive MIMO wireless networks. It is shown that structured ...

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