Valentina Zantedeschi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses. | Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain |
| 2025 | ICLR | InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation. | Gaurav Sahu, Abhay Puri, Juan A. Rodrguez, Amirhossein Abaskohi, Mohammad Chegini, Alexandre Drouin, Perouz Taslakian, Valentina Zantedeschi, Alexandre Lacoste, David Vzquez, Nicolas Chapados, Christopher Pal, Sai Rajeswar, Issam H. Laradji |
| 2025 | ICML | Context is Key: A Benchmark for Forecasting with Essential Textual Information. | Andrew Robert Williams, Arjun Ashok, tienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin |
| 2024 | AISTATS | Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. | Paul Viallard, Rmi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi |
| 2024 | EMNLP | XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference. | Joo Monteiro, tienne Marcotte, Pierre-Andr Nol, Valentina Zantedeschi, David Vzquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian |
| 2024 | ICLR | TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series. | Arjun Ashok, tienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin |
| 2023 | ICLR | DAG Learning on the Permutahedron. | Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae |
| 2023 | ICML | Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts. | tienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados |
| 2021 | AAAI | RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. | Christian Schrder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski |
| 2021 | ICML | Learning Binary Decision Trees by Argmin Differentiation. | Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae |
| 2020 | AISTATS | Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs. | Valentina Zantedeschi, Aurlien Bellet, Marc Tommasi |
| 2017 | CCS | Efficient Defenses Against Adversarial Attacks. | Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat |
| 2016 | CVPR | Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. | Valentina Zantedeschi, Rmi Emonet, Marc Sebban |