H4-Writer: A Text Entry Method Designed For Gaze Controlled Environment with Low KSPC and Spatial Footprint. - Raeid Saqur (CoRR, 2018)

ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs. - Aparna Balagopalan; Satya Gorti; Mathieu Ravaut; Raeid Saqur (CoRR, 2018)

CapsGAN: Using Dynamic Routing for Generative Adversarial Networks. - Raeid Saqur; Sal Vivona (CoRR, 2018)

Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. - Raeid Saqur; Karthik Narasimhan (NeurIPS, 2020)

Ethics of Artificial Intelligence in Surgery. - Frank Rudzicz; Raeid Saqur (CoRR, 2020)

CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes. - Raeid Saqur; Ameet Deshpande (CoRR, 2020)

Reward Learning using Structural Motifs in Inverse Reinforcement Learning. - Raeid Saqur (CoRR, 2022)

Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset. - Saeid Alavi Naeini; Raeid Saqur; Mozhgan Saeidi; John M. Giorgi; Babak Taati (NeurIPS, 2023)

L(u)PIN: LLM-based Political Ideology Nowcasting. - Ken Kato; Annabelle Purnomo; Christopher Cochrane; Raeid Saqur (CoRR, 2024)

NIFTY Financial News Headlines Dataset. - Raeid Saqur; Ken Kato; Nicholas Vinden; Frank Rudzicz (CoRR, 2024)

Reality Only Happens Once: Single-Path Generalization Bounds for Transformers. - Yannick Limmer; Anastasis Kratsios; Xuwei Yang; Raeid Saqur; Blanka Horvath (CoRR, 2024)

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models. - Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Jacob-Junqi Tian; John Willes; Blanka Horvath; Frank Rudzicz (CoRR, 2024)

What Teaches Robots to Walk, Teaches Them to Trade too - Regime Adaptive Execution using Informed Data and LLMs. - Raeid Saqur (CoRR, 2024)

Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models. - Raeid Saqur; Anastasis Kratsios; Florian Krach; Yannick Limmer; Blanka Horvath; Frank Rudzicz (ICLR, 2025)

Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework. - Nicholas Vinden; Raeid Saqur; Zining Zhu 001; Frank Rudzicz (CoRR, 2025)