Maximilian Golub

12 papers A* 3Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LatentMoE: Toward Optimal Accuracy per FLOP and Parameter in Mixture of Experts. CoRR Venmugil Elango, Nidhi Bhatia, Roger Waleffe, Rasoul Shafipour, Tomer Asida, Abhinav Khattar, Nave Assaf, Maximilian Golub, Joey Guman, Tiyasa Mitra, Ritchie Zhao, Ritika Borkar, Ran Zilberstein, Mostofa Patwary, Mohammad Shoeybi, Bita Rouhani
2025	J	`jnl`	Beyond the Buzz: A Pragmatic Take on Inference Disaggregation. CoRR Tiyasa Mitra, Ritika Borkar, Nidhi Bhatia, Ramon Matas, Shivam Raj, Dheevatsa Mudigere, Ritchie Zhao, Maximilian Golub, Arpan Dutta, Sailaja Madduri, Dharmesh Jani, Brian Pharris, Bita Darvish Rouhani
2025	J	`jnl`	Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding. CoRR Nidhi Bhatia, Ankit More, Ritika Borkar, Tiyasa Mitra, Ramon Matas, Ritchie Zhao, Maximilian Golub, Dheevatsa Mudigere, Brian Pharris, Bita Darvish Rouhani
2024	A*	`conf`	Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. CHI Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel Peter Robert
2024	J	`jnl`	Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models. CoRR Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub, Shaochun Zheng, Lionel P. Robert
2023	J	`jnl`	Microscaling Data Formats for Deep Learning. CoRR Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung
2023	J	`jnl`	Shared Microexponents: A Little Shifting Goes a Long Way. CoRR Bita Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lei Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov
2023	A*	`conf`	With Shared Microexponents, A Little Shifting Goes a Long Way. ISCA Bita Darvish Rouhani, Ritchie Zhao, Venmugil Elango, Rasoul Shafipour, Mathew Hall, Maral Mesmakhosroshahi, Ankit More, Levi Melnick, Maximilian Golub, Girish Varatkar, Lai Shao, Gaurav Kolhe, Dimitry Melts, Jasmine Klar, Renee L'Heureux, Matt Perry, Doug Burger, Eric S. Chung, Zhaoxia (Summer) Deng, Sam Naghshineh, Jongsoo Park, Maxim Naumov
2020	A*	`conf`	Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training. MICRO Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis
2020	J	`jnl`	Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training. CoRR Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis
2019	—	`conf`	Full Deep Neural Network Training On A Pruned Weight Budget. SysML Maximilian Golub, Guy Lemieux, Mieszko Lis
2018	J	`jnl`	DropBack: Continuous Pruning During Training. CoRR Maximilian Golub, Guy Lemieux, Mieszko Lis