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Nicolò Colombo
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Journal Articles
- 2015
- [j1]Nicolò Colombo, Nikos Vlassis:
FastMotif: spectral sequence motif discovery. Bioinform. 31(16): 2623-2631 (2015)
Conference and Workshop Papers
- 2023
- [c8]Nicolò Colombo:
On training locally adaptive CP. COPA 2023: 384-398 - 2020
- [c7]Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. COPA 2020: 55-64 - 2018
- [c6]Yin Cheng Ng, Nicolò Colombo, Ricardo Silva:
Bayesian Semi-supervised Learning with Graph Gaussian Processes. NeurIPS 2018: 1690-1701 - 2017
- [c5]Johan Markdahl, Nicolò Colombo, Johan Thunberg, Jorge M. Goncalves
:
Experimental design trade-offs for gene regulatory network inference: An in silico study of the yeast Saccharomyces cerevisiae cell cycle. CDC 2017: 423-428 - [c4]Nicolò Colombo, Ricardo Silva, Soong Moon Kang:
Tomography of the London Underground: a Scalable Model for Origin-Destination Data. NIPS 2017: 3062-3073 - 2016
- [c3]Nicolò Colombo, Nikos Vlassis:
Tensor Decomposition via Joint Matrix Schur Decomposition. ICML 2016: 2820-2828 - [c2]Nicolò Colombo, Nikos Vlassis:
A posteriori error bounds for joint matrix decomposition problems. NIPS 2016: 4943-4950 - 2015
- [c1]Nicolò Colombo, Nikos Vlassis:
Stable Spectral Learning Based on Schur Decomposition. UAI 2015: 220-227
Informal and Other Publications
- 2024
- [i13]Nicolò Colombo:
Normalizing Flows for Conformal Regression. CoRR abs/2406.03346 (2024) - [i12]Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva:
Structured Learning of Compositional Sequential Interventions. CoRR abs/2406.05745 (2024) - [i11]Rui Luo, Nicolò Colombo:
Conformal Load Prediction with Transductive Graph Autoencoders. CoRR abs/2406.08281 (2024) - [i10]Rui Luo, Nicolò Colombo:
Entropy Reweighted Conformal Classification. CoRR abs/2407.17377 (2024) - 2023
- [i9]Nicolò Colombo:
On training locally adaptive CP. CoRR abs/2306.04648 (2023) - 2021
- [i8]Yang Gao, Nicolò Colombo, Wei Wang:
Adapting by Pruning: A Case Study on BERT. CoRR abs/2105.03343 (2021) - [i7]Nicolò Colombo, Yang Gao:
Differentiable Architecture Pruning for Transfer Learning. CoRR abs/2107.03375 (2021) - 2020
- [i6]Nicolò Colombo:
Multiple Metric Learning for Structured Data. CoRR abs/2002.05747 (2020) - [i5]Nicolò Colombo, Vladimir Vovk:
Training conformal predictors. CoRR abs/2005.07037 (2020) - [i4]Nicolò Colombo, Yang Gao:
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification. CoRR abs/2009.05346 (2020) - 2019
- [i3]Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton:
Counterfactual Distribution Regression for Structured Inference. CoRR abs/1908.07193 (2019) - 2016
- [i2]Nicolò Colombo, Nikos Vlassis:
Approximate Joint Matrix Triangularization. CoRR abs/1607.00514 (2016) - 2014
- [i1]Nicolò Colombo, Nikos Vlassis:
Spectral Sequence Motif Discovery. CoRR abs/1407.6125 (2014)
Coauthor Index
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