Marco Bondaschi
5 papers · 2024–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Keywords
markov chain
(2)
local minimum
(2)
large language model
(2)
in-context learning
(2)
loss landscape
(1)
compression scheme
(1)
rate distortion
(1)
learning dynamics
(1)
induction head
(1)
next-token prediction
(1)
parameter initialization
(1)
global minimum
(1)
prompt compression
(1)
token-level compression
(1)
black-box model
(1)
layer normalization
(1)
wireless channel
(1)
markov process
(1)
low-rank structure
(1)
rate-distortion theory
(1)
Papers
Attention with Markov: A Curious Case of Single-layer Transformers
ICLR 2025
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
NeurIPS 2024
LASER: Linear Compression in Wireless Distributed Optimization
ICML 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
NeurIPS 2024
Transformers on Markov data: Constant depth suffices
NeurIPS 2024