Scholar
Pierre Ablin
Google Scholar ID: 1ZsunaYAAAAJ
Apple Machine Learning Research
Optimization
Machine Learning
Statistics
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,594
H-index
21
i10-index
28
Publications
20
Co-authors
67
list available
Contact
GitHub
Open ↗
LinkedIn
Open ↗
Publications
28 items
On Trajectory-Aware Training for Masked Diffusion Language Models
2026
Cited
0
Cartridges++: KV Cache Compression without Off-Context Derailment
2026
Cited
0
KV-Lingo: Learning KV-Cache Translators with Distillation
2026
Cited
0
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
2026
Cited
0
Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
2026
Cited
0
Scaling Laws for Mixture Pretraining Under Data Constraints
2026
Cited
0
Locking Pretrained Weights via Deep Low-Rank Residual Distillation
2026
Cited
0
DynaMiCS: Fine-tuning LLMs with Performance Constraints using Dynamic Mixtures
2026
Cited
0
Load more
Co-authors
18 total
Alexandre Gramfort
Meta
Gabriel Peyré
CNRS, DMA, Ecole Normale Supérieure
Thomas Moreau
Inria, CEA, Université Paris-Saclay
Samuel Vaiter
CNRS Researcher
Mathieu Dagréou
Inria
David Grangier
Apple Machine Learning Research
Michael E. Sander
Google DeepMind
Marco Cuturi
Apple