Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. - Alexander Lin; Amil Merchant; Suproteem K. Sarkar; Alexander D'Amour (CD@KDD, 2019)

What Happens To BERT Embeddings During Fine-tuning? - Amil Merchant; Elahe Rahimtoroghi; Ellie Pavlick; Ian Tenney (BlackboxNLP@EMNLP, 2020)

Does Data Augmentation Benefit from Split BatchNorms. - Amil Merchant; Barret Zoph; Ekin Dogus Cubuk (CoRR, 2020)

Learn2Hop: Learned Optimization on Rough Landscapes. - Amil Merchant; Luke Metz; Samuel S. Schoenholz; Ekin D. Cubuk (ICML, 2021)

VeLO: Training Versatile Learned Optimizers by Scaling Up. - Luke Metz; James Harrison; C. Daniel Freeman; Amil Merchant; Lucas Beyer; James Bradbury; Naman Agrawal; Ben Poole; Igor Mordatch; Adam Roberts; Jascha Sohl-Dickstein (CoRR, 2022)

Predicting emergence of crystals from amorphous matter with deep learning. - Muratahan Aykol; Amil Merchant; Simon L. Batzner; Jennifer N. Wei; Ekin Dogus Cubuk (CoRR, 2023)

Scaling deep learning for materials discovery. - Amil Merchant; Simon L. Batzner; Samuel S. Schoenholz; Muratahan Aykol; Gowoon Cheon; Ekin Dogus Cubuk (Nat., 2023)

Scalable Diffusion for Materials Generation. - Sherry Yang 001; KwangHwan Cho; Amil Merchant; Pieter Abbeel; Dale Schuurmans; Igor Mordatch; Ekin Dogus Cubuk (ICLR, 2024)

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations. - Nikil Roashan Selvam; Amil Merchant; Stefano Ermon (NeurIPS, 2024)

Predicting emergence of crystals from amorphous precursors with deep learning potentials. - Muratahan Aykol; Amil Merchant; Simon L. Batzner; Jennifer N. Wei; Ekin Dogus Cubuk (Nat. Comput. Sci., 2025)