The pulse: transient fMRI signal increases in subcortical arousal systems during transitions in attention. - Rong Li; Jun Hwan Ryu; Peter Vincent; Max Springer; Dan Kluger; Erik A. Levinsohn; Yu Chen 019; Huafu Chen; Hal Blumenfeld (NeuroImage, 2021)

Online Algorithms for the Santa Claus Problem. - Max Springer; MohammadTaghi Hajiaghayi; Debmalya Panigrahi; Mohammad Reza Khani (NeurIPS, 2022)

Optimal Sparse Recovery with Decision Stumps. - Kiarash Banihashem; Mohammad Hajiaghayi; Max Springer (AAAI, 2023)

Analysis of a Learning Based Algorithm for Budget Pacing. - MohammadTaghi Hajiaghayi; Max Springer (AAMAS, 2023)

Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost. - Marina Knittel; Max Springer; John P. Dickerson; MohammadTaghi Hajiaghayi (ICML, 2023)

An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Suho Shin 001; Max Springer (NeurIPS, 2023)

Fair, Polylog-Approximate Low-Cost Hierarchical Clustering. - Marina Knittel; Max Springer; John P. Dickerson; MohammadTaghi Hajiaghayi (NeurIPS, 2023)

Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements. - Max Springer; MohammadTaghi Hajiaghayi; Hadi Yami (AAAI, 2024)

Dynamic Metric Embedding into lp Space. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Dariusz Rafal Kowalski; Jan Olkowski; Max Springer (ICML, 2024)

Fairness and Efficiency in Online Class Matching. - MohammadTaghi Hajiaghayi; Shayan Chashm Jahan; Mohammad Sharifi; Suho Shin 001; Max Springer (NeurIPS, 2024)

Dynamic Metric Embedding into ℓp Space. - Kiarash Banihashem; MohammadTaghi Hajiaghayi; Dariusz R. Kowalski; Jan Olkowski; Max Springer (CoRR, 2024)

Bi-Criteria Metric Distortion. - Kiarash Banihashem; Diptarka Chakraborty; Shayan Chashm Jahan; Iman Gholami; MohammadTaghi Hajiaghayi; Mohammad Mahdavi; Max Springer (CoRR, 2024)

Less is More: Adaptive Coverage for Synthetic Training Data. - Sasan Tavakkol; Max Springer; Mohammad Hossein Bateni 001; Neslihan Bulut; Vincent Cohen-Addad; MohammadTaghi Hajiaghayi (CoRR, 2025)

SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification. - Sasan Tavakkol; Lin Chen; Max Springer; Abigail Schantz; Blaz Bratanic; Vincent Cohen-Addad; MohammadHossein Bateni (CoRR, 2025)