Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture. - Danhang Tang; Hyung Jin Chang; Alykhan Tejani; Tae-Kyun Kim 001 (CVPR, 2014)

Latent-Class Hough Forests for 3D Object Detection and Pose Estimation. - Alykhan Tejani; Danhang Tang; Rigas Kouskouridas; Tae-Kyun Kim 001 (ECCV (6), 2014)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. - Christian Ledig; Lucas Theis; Ferenc Huszar; Jose Caballero; Andrew P. Aitken; Alykhan Tejani; Johannes Totz; Zehan Wang; Wenzhe Shi (CoRR, 2016)

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. - Christian Ledig; Lucas Theis; Ferenc Huszar; Jose Caballero; Andrew Cunningham; Alejandro Acosta; Andrew P. Aitken; Alykhan Tejani; Johannes Totz; Zehan Wang; Wenzhe Shi (CVPR, 2017)

Latent Regression Forest: Structured Estimation of 3D Hand Poses. - Danhang Tang; Hyung Jin Chang; Alykhan Tejani; Tae-Kyun Kim 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Faster gaze prediction with dense networks and Fisher pruning. - Lucas Theis; Iryna Korshunova; Alykhan Tejani; Ferenc Huszár (CoRR, 2018)

Latent-Class Hough Forests for 6 DoF Object Pose Estimation. - Alykhan Tejani; Rigas Kouskouridas; Andreas Doumanoglou; Danhang Tang; Tae-Kyun Kim 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

PyTorch: An Imperative Style, High-Performance Deep Learning Library. - Adam Paszke; Sam Gross; Francisco Massa; Adam Lerer; James Bradbury; Gregory Chanan; Trevor Killeen; Zeming Lin; Natalia Gimelshein; Luca Antiga; Alban Desmaison; Andreas Köpf; et al. (NeurIPS, 2019)

Addressing delayed feedback for continuous training with neural networks in CTR prediction. - Sofia Ira Ktena; Alykhan Tejani; Lucas Theis; Pranay Kumar Myana; Deepak Dilipkumar; Ferenc Huszár; Steven Yoo; Wenzhe Shi (RecSys, 2019)

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. - Vito Walter Anelli; Amra Delic; Gabriele Sottocornola; Jessie Smith; Nazareno Andrade; Luca Belli; Michael M. Bronstein; Akshay Gupta; Sofia Ira Ktena; Alexandre Lung-Yut-Fong; Frank Portman; Alykhan Tejani; et al. (RecSys, 2020)

Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. - Dalin Guo; Sofia Ira Ktena; Pranay Kumar Myana; Ferenc Huszar; Wenzhe Shi; Alykhan Tejani; Michael Kneier; Sourav Das (RecSys, 2020)

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. - Caojin Zhang; Yicun Liu; Yuanpu Xie; Sofia Ira Ktena; Alykhan Tejani; Akshay Gupta; Pranay Kumar Myana; Deepak Dilipkumar; Suvadip Paul; Ikuhiro Ihara; Prasang Upadhyaya; Ferenc Huszar; et al. (RecSys, 2020)

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. - Luca Belli; Sofia Ira Ktena; Alykhan Tejani; Alexandre Lung-Yut-Fong; Frank Portman; Xiao Zhu; Yuanpu Xie; Akshay Gupta; Michael M. Bronstein; Amra Delic; Gabriele Sottocornola; Vito Walter Anelli; et al. (CoRR, 2020)

Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. - Dalin Guo; Sofia Ira Ktena; Ferenc Huszar; Pranay Kumar Myana; Wenzhe Shi; Alykhan Tejani (CoRR, 2020)

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. - Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Jonathan Hunt; Michael M. Bronstein; Wenzhe Shi (RecSys, 2021)

The 2021 RecSys Challenge Dataset: Fairness is not optional. - Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Kristian Lum; Jonathan Hunt; Michael M. Bronstein; Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; et al. (RecSys Challenge, 2021)