Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks. - Dylan Randle; Pavlos Protopapas; David Sondak (CoRR, 2020)

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks. - Blake Bullwinkel; Dylan Randle; Pavlos Protopapas; David Sondak (CoRR, 2022)

Avoiding Object Damage in Robotic Manipulation. - Erica Aduh; Fan Wang; Dylan Randle; Kaiwen Wang; Priyesh Shah; Chaitanya Mitash; Manikantan Nambi (IROS, 2024)

Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. - Peter Yichen Chen; Chao Liu 021; Pingchuan Ma 002; John Eastman; Daniela Rus; Dylan Randle; Yuri Ivanov; Wojciech Matusik (CoRR, 2024)

MuST: Multi-Head Skill Transformer for Long-Horizon Dexterous Manipulation with Skill Progress. - Kai Gao; Fan Wang; Erica Aduh; Dylan Randle; Jane Shi (CoRR, 2025)

Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success. - Che Wang; Jeroen van Baar; Chaitanya Mitash; Shuai Li; Dylan Randle; Weiyao Wang 005; Sumedh Sontakke; Kostas E. Bekris; Kapil Katyal (CoRR, 2025)