On computable learning of continuous features. - Nathanael L. Ackerman; Julian Asilis; Jieqi Di; Cameron E. Freer; Jean-Baptiste Tristan (CoRR, 2021)

Computable PAC Learning of Continuous Features. - Nathanael L. Ackerman; Julian Asilis; Jieqi Di; Cameron E. Freer; Jean-Baptiste Tristan (LICS, 2022)

Regularization and Optimal Multiclass Learning. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (COLT, 2024)

Open Problem: Can Local Regularization Learn All Multiclass Problems? - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (COLT, 2024)

Transductive Learning is Compact. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (NeurIPS, 2024)

Learnability is a Compact Property. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (CoRR, 2024)

Proper Learnability and the Role of Unlabeled Data. - Julian Asilis; Siddartha Devic; Shaddin Dughmi; Vatsal Sharan; Shang-Hua Teng (ALT, 2025)

Understanding Aggregations of Proper Learners in Multiclass Classification. - Julian Asilis; Mikael Møller Høgsgaard; Grigoris Velegkas (ALT, 2025)

Local Regularizers Are Not Transductive Learners. - Sky Jafar; Julian Asilis; Shaddin Dughmi (COLT, 2025)

On Agnostic PAC Learning in the Small Error Regime. - Julian Asilis; Mikael Møller Høgsgaard; Grigoris Velegkas (CoRR, 2025)

Tina: Tiny Reasoning Models via LoRA. - Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Willie Neiswanger (CoRR, 2025)

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. - Woody Haosheng Gan; Deqing Fu; Julian Asilis; Ollie Liu; Dani Yogatama; Vatsal Sharan; Robin Jia; Willie Neiswanger (CoRR, 2025)

Resa: Transparent Reasoning Models via SAEs. - Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Deqing Fu; Willie Neiswanger (CoRR, 2025)