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2020 – today
- 2026
[i11]Alexander H. Liu, Andy Ehrenberg, Andy Lo, Chen-Yo Sun, Guillaume Lample, Jean-Malo Delignon, Khyathi Raghavi Chandu, Patrick von Platen, Pavankumar Muddireddy, Rohin Arora, Sanchit Gandhi, Sandeep Subramanian, Soham Ghosh, Srijan Mishra, Abhinav Rastogi, Adrien Sadé, Alan Jeffares, Albert Q. Jiang, Alexandre Cahill, Alexandre Gavaudan, Alexandre Sablayrolles, Amélie Héliou, Amos You, Andrew Bai, Angele Lenglemetz, Anmol Agarwal, Anton Eliseev, Antonia Calvi, Arjun Majumdar, Avi Sooriyarachchi, Baptiste Bout, Baptiste Rozière, Baudouin De Monicault, Benjamin Tibi, Charlotte Cronjäger, Clémence Lanfranchi, Connor Chen, Corentin Barreau, Corentin Sautier, Cyprien Courtot, Darius Dabert, Diego de Las Casas, Elizaveta Demyanenko, Elliot Chane-Sane, Enguerrand Paquin, Etienne Goffinet, Fabien Niel, Faruk Ahmed, Federico Baldassarre, Gabrielle Berrada, Gaëtan Ecrepont, Gauthier Guinet, Genevieve Hayes, Georgii Novikov, Giada Pistilli, Guillaume Kunsch, Guillaume Martin, Guillaume Raille, Gunjan Dhanuka, Gunshi Gupta, Han Zhou, Harshil Shah, Hope McGovern, Hugo Thimonier, Indraneel Mukherjee, Irene Zhang, Jaeyoung Kim, Jan Ludziejewski, Jason Rute, Joachim Studnia, John Harvill, Jonas Amar, Joséphine Delas, Josselin Somerville Roberts, Julien Tauran, Karmesh Yadav, Kartik Khandelwal, Kilian Tep, Kush Jain, Laurence Aitchison, Laurent Fainsin, Léonard Blier, Lingxiao Zhao, Louis Martin, Lucile Saulnier, Luyu Gao, Maarten Buyl, Manan Sharma, Margaret Jennings, Marie Pellat, Mark Prins, Martin Alexandre, Mathieu Poirée, Mathilde Guillaumin, Matthieu Dinot, Matthieu Futeral, Maxime Darrin, Maximilian Augustin, Mert Unsal, Mia Chiquier:
Voxtral Realtime. CoRR abs/2602.11298 (2026)- 2025
- [c9]Alan Jeffares, Mihaela van der Schaar:
Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable. ICML (Position Papers) 2025 - [c8]Miran Özdogan, Alan Jeffares, Sean B. Holden:
Partition Tree Ensembles for Improving Multi-Class Classification. ICPRAM 2025: 55-69 - [i10]Alan Jeffares, Liyuan Liu:
An Introduction to Discrete Variational Autoencoders. CoRR abs/2505.10344 (2025) - [i9]Alan Jeffares, Mihaela van der Schaar:
Not All Explanations for Deep Learning Phenomena Are Equally Valuable. CoRR abs/2506.23286 (2025) - 2024
- [c7]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML 2024: 40951-40981 - [c6]Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. NeurIPS 2024 - [i8]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers. CoRR abs/2402.01502 (2024) - [i7]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR abs/2406.03258 (2024) - [i6]Alan Jeffares, Alicia Curth, Mihaela van der Schaar:
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. CoRR abs/2411.00247 (2024) - 2023
- [c5]Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar:
Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS 2023: 10160-10177 - [c4]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR 2023 - [c3]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. NeurIPS 2023 - [c2]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS 2023 - [i5]Alan Jeffares, Tennison Liu, Jonathan Crabbé
, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR abs/2301.11323 (2023) - [i4]Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar:
Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR abs/2302.12238 (2023) - [i3]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR abs/2303.05506 (2023) - [i2]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. CoRR abs/2310.18988 (2023) - 2022
- [c1]Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis:
Spike-inspired rank coding for fast and accurate recurrent neural networks. ICLR 2022 - 2021
- [i1]Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis:
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks. CoRR abs/2110.02865 (2021)
Coauthor Index
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