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  • Currently displaying 1 - 20 of 2021 publications
Relative entropy bounds for sampling with and without replacement
O Johnson, L Gavalakis, I Kontoyiannis
(2024)
(link to publication)
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2024)
35,
5306
(doi: 10.1109/tnnls.2022.3203315)
Optimal convex $M$-estimation via score matching
OY Feng, Y-C Kao, M Xu, RJ Samworth
(2024)
(link to publication)
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
AI Aviles-Rivero, C-W Cheng, Z Deng, Z Kourtzi, C-B Schönlieb
(2024)
(link to publication)
Quantitative De Giorgi methods in kinetic theory for non-local operators
A Loher
– Journal of Functional Analysis
(2024)
286,
110312
(doi: 10.1016/j.jfa.2023.110312)
The entropic doubling constant and robustness of Gaussian codebooks for additive-noise channels
L Gavalakis, I Kontoyiannis, M Madiman
(2024)
(doi: 10.48550/arxiv.2403.07209)
(link to publication)
Stability of Regularized Hastings–Levitov Aggregation in the Subcritical Regime
J Norris, V Silvestri, A Turner
– Communications in Mathematical Physics
(2024)
405,
74
(doi: 10.1007/s00220-024-04960-5)
Stability of Regularized Hastings–Levitov Aggregation in the Subcritical Regime
J Norris, V Silvestri, A Turner
– Communications in Mathematical Physics
(2024)
405,
74
(doi: 10.1007/s00220-024-04960-5)
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains
A Theocharous, GG Gregoriou, P Sapountzis, I Kontoyiannis
– IEEE Transactions on Signal Processing
(2024)
72,
1333
(doi: 10.1109/tsp.2024.3371899)
Inferring networks from time series: A neural approach.
T Gaskin, GA Pavliotis, M Girolami
– PNAS nexus
(2024)
3,
pgae063
(doi: 10.1093/pnasnexus/pgae063)
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin, J Huang, Z Deng, G Yang, C-B Schönlieb, A Aviles-Rivero
(2024)
(link to publication)
Flight of the Bumblebee: the Early Excess Flux of Type Ia Supernova 2023bee Revealed by TESS, Swift, and Young Supernova Experiment Observations
Q Wang, A Rest, G Dimitriadis, R Ridden-Harper, MR Siebert, M Magee, CR Angus, K Auchettl, KW Davis, RJ Foley, OD Fox, S Gomez, JE Jencson, DO Jones, CD Kilpatrick, JDR Pierel, AL Piro, A Polin, CA Politsch, C Rojas-Bravo, M Shahbandeh, VA Villar, Y Zenati, C Ashall, KC Chambers, DA Coulter, T de Boer, N DiLullo, C Gall, H Gao, EY Hsiao, ME Huber, L Izzo, N Khetan, N LeBaron, EA Magnier, KS Mandel, P McGill, HY Miao, YC Pan, CP Stevens, JJ Swift, K Taggart, G Yang
– The Astrophysical Journal
(2024)
962,
17
(doi: 10.3847/1538-4357/ad0edb)
Stochastic wave equation with Hölder noise coefficient: Well-posedness and small mass limit
Y Han
– Journal of Functional Analysis
(2024)
286,
110224
(doi: 10.1016/j.jfa.2023.110224)
Keck Infrared Transient Survey. I. Survey Description and Data Release 1
S Tinyanont, RJ Foley, K Taggart, KW Davis, N LeBaron, JE Andrews, MJ Bustamante-Rosell, Y Camacho-Neves, R Chornock, DA Coulter, L Galbany, SW Jha, CD Kilpatrick, LA Kwok, C Larison, JR Pierel, MR Siebert, G Aldering, K Auchettl, JS Bloom, S Dhawan, AV Filippenko, KD French, A Gagliano, M Grayling, DA Howell, WV Jacobson-Galán, DO Jones, X Le Saux, P Macias, KS Mandel, C McCully, E Padilla Gonzalez, A Rest, J Rho, C Rojas-Bravo, MF Skrutskie, S Thorp, Q Wang, SM Ward
– Publications of the Astronomical Society of the Pacific
(2024)
136,
014201
(doi: 10.1088/1538-3873/ad1b39)
Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility
TB Berrett, RJ Samworth
– Annals of Statistics
(2023)
51,
2170
(doi: 10.1214/23-aos2326)
(link to publication)
Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits
EK Huch, J Shi, MR Abbott, JR Golbus, A Moreno, WH Dempsey
(2023)
(link to publication)
Neural parameter calibration and uncertainty quantification for epidemic forecasting
T Gaskin, T Conrad, GA Pavliotis, C Schütte
(2023)
(link to publication)
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen, Y Cheng, RH Chan, P Liò, C-B Schönlieb, AI Aviles-Rivero
(2023)
(link to publication)
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schonlieb
– IEEE Transactions on Neural Networks and Learning Systems
(2023)
PP,
1
(doi: 10.1109/TNNLS.2023.3332003)

Frontpage talks

Statistics
Georgia Padadogeorgou, University of Florida
Statistics
Sara van de Geer, ETH Zürich
Probability
Yi Han (Statslab)
Cambridge Statistics Clinic
MR5 at the CMS
17
May
14:00 - 15:00: Title to be confirmed
Statistics
Alexandra Carpentier, University of Potsdam

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