Tommaso Mencattini
Scholar

Tommaso Mencattini

Google Scholar ID: nJuzaPsAAAAJ
MSc in Data Science, EPFL
Machine LearningNatural Language ProcessingMechanistic InterpretabilityModel Merging
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Citations & Impact
All-time
Citations
18
 
H-index
3
 
i10-index
0
 
Publications
6
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
6 items
Multi-objective Evolutionary Merging Enables Efficient Reasoning Models
2026
Cited
0
Language Models are Injective and Hence Invertible
2025
Cited
0
Exploratory Causal Inference in SAEnce
2025
Cited
0
Mergenetic: a Simple Evolutionary Model Merging Library
2025
Cited
0
Activation Patching for Interpretable Steering in Music Generation
2025
Cited
0
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
2025
Cited
0
Resume (English only)
Co-authors
5 total
Massimo Mecella
Massimo Mecella
Professor in Engineering in Computer Science, Sapienza Università di Roma, Italy
Emanuele Rodolà
Emanuele Rodolà
Professor of Computer Science, Sapienza University of Rome
Donato Crisostomi
Donato Crisostomi
Ellis Ph.D. student, Sapienza University of Rome & University of Cambridge
Andrea Santilli
Andrea Santilli
NLP Researcher
Adrian Robert Minut
Adrian Robert Minut
Phd Student, Sapienza University of Rome