Alaska Steve: Using Virtual Reality to Enhance a 2D Platforming Game. - Liam Collins; Stefan Eylott; John Leedale; T. C. Nicholas Graham (CHI PLAY, 2015)

Task-Robust Model-Agnostic Meta-Learning. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (NeurIPS, 2020)

Distribution-Agnostic Model-Agnostic Meta-Learning. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2020)

Why Does MAML Outperform ERM? An Optimization Perspective. - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2020)

Exploiting Shared Representations for Personalized Federated Learning. - Liam Collins; Hamed Hassani; Aryan Mokhtari; Sanjay Shakkottai (ICML, 2021)

How Does the Task Landscape Affect MAML Performance? - Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoLLAs, 2022)

MAML and ANIL Provably Learn Representations. - Liam Collins; Aryan Mokhtari; Sewoong Oh; Sanjay Shakkottai (ICML, 2022)

FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. - Liam Collins; Hamed Hassani; Aryan Mokhtari; Sanjay Shakkottai (NeurIPS, 2022)

InfoNCE Loss Provably Learns Cluster-Preserving Representations. - Advait Parulekar; Liam Collins; Karthikeyan Shanmugam; Aryan Mokhtari; Sanjay Shakkottai (COLT, 2023)

Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. - Jerry Gu; Liam Collins; Debashri Roy; Aryan Mokhtari; Sanjay Shakkottai; Kaushik R. Chowdhury (ICASSP, 2023)

Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. - Liam Collins; Shanshan Wu; Sewoong Oh; Khe Chai Sim (CoRR, 2023)

Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions. - Sita Sirisha Madugula; Blythe Dumerer; Ruben Millan-Solsona; Checa Nualart Marti; Liam Collins; Rama K. Vasudevan; Retterer Scott; Lance Zhang; Spencer Cox; Jennifer Lynn Morrell-Falvey (IEEE Big Data, 2024)

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. - Liam Collins; Hamed Hassani; Mahdi Soltanolkotabi; Aryan Mokhtari; Sanjay Shakkottai (ICML, 2024)

In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. - Liam Collins; Advait Parulekar; Aryan Mokhtari; Sujay Sanghavi; Sanjay Shakkottai (NeurIPS, 2024)

Meta-Learning Adaptable Foundation Models. - Jacob L. Block; Sundararajan Srinivasan; Liam Collins; Aryan Mokhtari; Sanjay Shakkottai (CoRR, 2024)

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. - Clark Mingxuan Ju; Leonardo Neves; Bhuvesh Kumar; Liam Collins; Tong Zhao 003; Yuwei Qiu; Qing Dou; Yang Zhou; Sohail Nizam; Rengim Aykan Ozturk; Yvette Liu; Sen Yang; et al. (SIGIR, 2025)

A Bi-channel Aided Stitching of Atomic Force Microscopy Images. - Huanhuan Zhao; Ruben Millan-Solsona; Checa Nualart Marti; Spenser R. Brown; Jennifer Lynn Morrell-Falvey; Liam Collins; Arpan Biswas (CoRR, 2025)

Revisiting Self-attention for Cross-domain Sequential Recommendation. - Clark Mingxuan Ju; Leonardo Neves; Bhuvesh Kumar; Liam Collins; Tong Zhao 003; Yuwei Qiu; Qing Dou; Sohail Nizam; Sen Yang; Neil Shah (CoRR, 2025)

Generative Recommendation with Semantic IDs: A Practitioner's Handbook. - Clark Mingxuan Ju; Liam Collins; Leonardo Neves; Bhuvesh Kumar; Louis Yufeng Wang; Tong Zhao 003; Neil Shah (CoRR, 2025)