Nicolò Colombo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Motif Discovery

Matrix Decomposition

Saccharomyces Cerevisiae

Gaussian Process

Top Venues

Publications

Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
Structured Learning of Compositional Sequential Interventions. CoRR (2024)
Rui Luo, Nicolò Colombo
Entropy Reweighted Conformal Classification. CoRR (2024)
Rui Luo, Nicolò Colombo
Conformal Load Prediction with Transductive Graph Autoencoders. CoRR (2024)
Nicolò Colombo
Normalizing Flows for Conformal Regression. CoRR (2024)
Nicolò Colombo
On training locally adaptive CP. CoRR (2023)
Nicolò Colombo
On training locally adaptive CP. COPA (2023)
Yang Gao, Nicolò Colombo, Wei Wang
Adapting by Pruning: A Case Study on BERT. CoRR (2021)
Nicolò Colombo, Yang Gao
Differentiable Architecture Pruning for Transfer Learning. CoRR (2021)
Nicolò Colombo
Multiple Metric Learning for Structured Data. CoRR (2020)
Nicolò Colombo, Vladimir Vovk
Training conformal predictors. COPA (2020)
Nicolò Colombo, Vladimir Vovk
Training conformal predictors. CoRR (2020)
Nicolò Colombo, Yang Gao
Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification. CoRR (2020)
Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton
Counterfactual Distribution Regression for Structured Inference. CoRR (2019)
Yin Cheng Ng, Nicolò Colombo, Ricardo Silva
Bayesian Semi-supervised Learning with Graph Gaussian Processes. NeurIPS (2018)
Nicolò Colombo, Ricardo Silva, Soong Moon Kang
Tomography of the London Underground: a Scalable Model for Origin-Destination Data. NIPS (2017)
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)
Nicolò Colombo, Nikos Vlassis
Approximate Joint Matrix Triangularization. CoRR (2016)
Nicolò Colombo, Nikos Vlassis
A posteriori error bounds for joint matrix decomposition problems. NIPS (2016)
Nicolò Colombo, Nikos Vlassis
Tensor Decomposition via Joint Matrix Schur Decomposition. ICML (2016)
Nicolò Colombo, Nikos Vlassis
Stable Spectral Learning Based on Schur Decomposition. UAI (2015)
Nicolò Colombo, Nikos Vlassis
FastMotif: spectral sequence motif discovery. Bioinform. 31 (16) (2015)
Nicolò Colombo, Nikos Vlassis
Spectral Sequence Motif Discovery. CoRR (2014)