Robert Mullins
Professor in Computer Architecture
Researches efficient and secure machine learning, accelerator and microprocessor design and open-source hardware, including lowRISC and OpenTitan.
Robert Mullins's lab at Cambridge works on accelerators, chips & architecture and efficient training & inference. 18 papers since 2023, 10 at top venues, mostly ACL and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 56%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 8 papers2025 · T1 4
- 2 papers2024 · T1 1
- 4 papers2023 · T1 2
T1 venuesOtherVenues: ACL, ICLR, NeurIPS, ACML, CVPR
Research focuspaper titles that use each topic's words
- Efficient training & inference5 papers
- Accelerators, chips & architecture1 paper
- accelerator0 papers
- open-source0 papers
- secure0 papers
Paper list
From DBLP.
20264 papers
- ISCA (T1)Combating the Memory Walls: Optimization Pathways for Long-Context Agentic Llm Inference (opens in a new tab)
- ACL (T1)Deep Kernel Fusion for Transformers (opens in a new tab)
- SaTMLReasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated (opens in a new tab)
- ICLR (T1)SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs (opens in a new tab)
20258 papers
- SPArchitectural Neural Backdoors from First Principles (opens in a new tab)
- FPLAspo: Constraint-Aware Bayesian Optimization for Fpga-Based Soft Processors (opens in a new tab)
- ICML (T1)Hardware and Software Platform Inference (opens in a new tab)
- ICLR (T1)Inverse Constitutional AI: Compressing Preferences into Principles (opens in a new tab)
- FCCMLLM4DV: Using Large Language Models for Hardware Test Stimuli Generation (opens in a new tab)
- SaTMLLocking Machine Learning Models into Hardware (opens in a new tab)
- HPCA (T1)Mascot: Predicting Memory Dependencies and Opportunities for Speculative Memory Bypassing (opens in a new tab)
- NeurIPS (T1)PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation (opens in a new tab)
20242 papers
20234 papers
- CVPR (T1)Architectural Backdoors in Neural Networks (opens in a new tab)
- Findings of EMNLPDynamic Stashing Quantization for Efficient Transformer Training (opens in a new tab)
- ACL (T1)Revisiting Automated Prompting: Are We Actually Doing Better? (opens in a new tab)
- ACMLRevisiting Structured Dropout (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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