Prof. Stefano Soatto — Research Profile
University of California, Los Angeles · Computer Science
Graduate application deadlines
Computer Science
PhD in Computer Science
Fall 2027Application deadline
Dec 15, 2026 23:59 PST
No year on the page — check the original to confirm these dates are for this cycle.
Source: cs.ucla.eduChecked Nov 2, 2026MS in Computer Science
Fall 2027Application deadline
Dec 15, 2026 23:59 PST
No year on the page — check the original to confirm these dates are for this cycle.
Source: cs.ucla.eduChecked Nov 2, 2026
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PIAbout
Prof. Stefano Soatto at University of California, Los Angeles Computer Science lists Computer vision, Machine learning, Robotics as their registered research area.
Research keywords
Recent papers
- Learning When Human Decisions Matter: Executor-Relative Consultation Value for LLM AgentsNewPreprintarXiv (Cornell University) · Nov 4
- Skeleton Coding: Program Structure as a Specification for AgentsNewPreprintarXiv (Cornell University) · Oct 28
- AI Agents as Universal Task SolversEntropy · Mar 16
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Julian McAuley Lab
University of California, San Diego · Department of Computer Science and Engineering
Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation SteeringPreprintarXiv (Cornell University) · Jul 20Shared topic: Topic Modeling
Sanmi Koyejo Lab
Stanford University · Computer Science
How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language ModelsPreprintarXiv (Cornell University) · Sep 27Shared topic: Topic Modeling
Benjamin Eysenbach Lab
Princeton University · Computer Science
The Geometry of EmpowermentPreprintarXiv (Cornell University) · Oct 6Shared topic: Machine Learning and Algorithms
Other labs in this department
- Aditya Grover Lab
Probabilistic machine learning for unsupervised representation learning and sequential decision making
- Automated Reasoning Group
Adnan Darwiche
Probabilistic and logical reasoning and its applications, Diagnosis, planning, system design and analysis
- Alexander Sherstov Lab
Theoretical computer science
- Amit Sahai Lab
Theoretical computer science, Foundations of cryptography, Computer security, Cybersecurity and future internet
- Baharan Mirzasoleiman Lab
Machine learning, Data mining, Optimization, Approximation algorithms
- Blaise-Pascal Tine Lab
Systems, compilers and hardware support for heterogeneous architectures, Reconfigurable and hybrid architectures for high performance computing using FPGAs, Software-hardware codesign of custom accelerators in Graph Analytics, Relational Databases and Machine Learning