Publications
Planned Diffusion
Daniel Israel*, Tian Jin*, Ellie Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin
Under Review at ICLR 2026
[paper] [code]
The Pitfalls of KV Cache Compression
Alex Chen, Renato Geh, Aditya Grover, Guy Van den Broeck, Daniel Israel
Under Review at ICLR 2026
[paper] [code]
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Daniel Israel, Guy Van den Broeck, Aditya Grover
Advances in Neural Information Processing Systems 39 (NeurIPS 2025) — Spotlight (3.1% Acceptance Rate)
[paper] [code]
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
Siyan Zhao*, Daniel Israel*, Guy Van den Broeck, Aditya Grover
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
[paper] [code]
Enabling Autoregressive Models to Fill In Masked Tokens
Daniel Israel, Aditya Grover, Guy Van den Broeck
Preprint
[paper]
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
Hritik Bansal, Daniel Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover
Advances in Neural Information Processing Systems 39 (NeurIPS 2025)
[paper] [code]
Fast and Memory-Efficient Multi-Sequence Generation via Structured Masking
Daniel Israel, Siyan Zhao, Guy Van den Broeck, Aditya Grover
Workshop on Efficient Systems for Foundation Models II@ ICML2024
[paper]
High Dimensional Causal Inference with Variational Backdoor Adjustment
Daniel Israel, Aditya Grover, Guy Van den Broeck
Preprint
[paper] [code]
* denotes equal contribution