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Konstantina Palla
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2020 – today
- 2024
- [c10]Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. ICML 2024 - [i5]Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR abs/2402.00809 (2024) - [i4]Sergio Calvo-Ordoñez, Konstantina Palla, Kamil Ciosek:
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel. CoRR abs/2409.03953 (2024) - 2023
- [j2]Pratik Ghosh
, Karen L. Posner
Framing Machine Learning Opportunities for Hypotension Prediction in Perioperative Care: A Socio-technical Perspective: Socio-technical perspectives on hypotension prediction. ACM Trans. Comput. Hum. Interact. 30(5): 79:1-79:33 (2023) - [i3]Alex J. Chan, José Luis Redondo García, Fabrizio Silvestri, Colm O'Donnel, Konstantina Palla:
Harmonizing Global Voices: Culturally-Aware Models for Enhanced Content Moderation. CoRR abs/2312.02401 (2023) - 2022
- [c9]Cian Naik
Bayesian Nonparametrics for Sparse Dynamic Networks. ECML/PKDD (5) 2022: 191-206
2010 – 2019
- 2019
- [c8]Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang:
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. ICML 2019: 4234-4243 - 2018
- [i2]Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang:
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE. CoRR abs/1809.11142 (2018) - 2017
- [c7]Konstantina Palla, David A. Knowles, Zoubin Ghahramani:
A Birth-Death Process for Feature Allocation. ICML 2017: 2751-2759 - 2016
- [c6]Nick Heard, Konstantina Palla, Maria Skoularidou:
Topic modelling of authentication events in an enterprise computer network. ISI 2016: 190-192 - 2015
- [j1]Konstantina Palla, David A. Knowles
Relational Learning and Network Modelling Using Infinite Latent Attribute Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 462-474 (2015) - 2014
- [c5]David A. Knowles, Zoubin Ghahramani, Konstantina Palla:
A reversible infinite HMM using normalised random measures. ICML 2014: 1998-2006 - 2013
- [c4]Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci
SIGMa: simple greedy matching for aligning large knowledge bases. KDD 2013: 572-580 - 2012
- [c3]Konstantina Palla, David A. Knowles, Zoubin Ghahramani:
An Infinite Latent Attribute Model for Network Data. ICML 2012 - [c2]David A. Knowles, Konstantina Palla, Zoubin Ghahramani:
A nonparametric variable clustering model. NIPS 2012: 2996-3004 - [i1]Simon Lacoste-Julien, Konstantina Palla, Alex Davies, Gjergji Kasneci, Thore Graepel, Zoubin Ghahramani:
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. CoRR abs/1207.4525 (2012)
2000 – 2009
- 2008
- [c1]Verena Kantere, Konstantina Palla, Kostas Patroumpas, Timos K. Sellis
A Simulator for a Mobile Peer-to-Peer Database Environment. MDM 2008: 223-224
Coauthor Index
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