About me
My research laid the key foundations for Diffusion Language Models, and I now lead a team at MBZUAI - IFM advancing the field.
Ph.D. Thesis:
Foundations of Diffusion Language Models, advised by
Prof. John Thickstun.
Previously: Cornell Tech (Ph.D.);
Google Research; IIT Kharagpur
(B.Tech).
Highlights
Select Papers
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Subham S. Sahoo, Lingjie Chen, Khiem Pham, Jonathan Geuter et al. Unlocking Lossless Speedups in LLMs via Discrete Diffusion. 2026. [paper, code, webpage]
Subham S. Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin Chiu, Volodymyr Kuleshov. The Diffusion Duality. 42nd International Conference on Machine Learning (ICML 2025), ICLR 2025 - DeLTa Workshop (oral). [paper, code, webpage]
Subham S. Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov. Simple and Effective Masked Diffusion Language Models. 38th Conference on Neural Information Processing Systems (NeurIPS 2024), ICML 2024 - AccMLBio Workshop (spotlight). [paper, code, webpage]
Subham S. Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov. Diffusion Models With Learned Adaptive Noise. 38th Conference on Neural Information Processing Systems (NeurIPS 2024, spotlight), NeurIPS 2024 - Compression Workshop (spotlight). [paper, code, webpage]
News
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Dec-7-26: Giving a tutorial on discrete diffusion at NeurIPS 2026 in Sydney.
Dec-1-26: Invited talk at Nebius on Unlocking Lossless Speedups in LLMs via Discrete Diffusion.
Nov-16-26: Invited talk at the Diffusion LLM Minisymposium at SIAM MDS2026 on Unlocking Lossless Speedups in LLMs via Discrete Diffusion.
Oct-9-26: Panelist at the COLM 2026 Workshop on Non-Autoregressive Language Models.
Oct-7-26: Invited talk at the Emerging Directions in Probabilistic Modeling Workshop on Unlocking Lossless Speedups in LLMs via Discrete Diffusion. [Slides]
Oct-5-26: Interviewed by Jay Shah on Rethinking LLMs: Why Diffusion Could Change How We Build AI. [Video]
Sep-29-26: Our workshop Beyond Next-Token Prediction accepted at NeurIPS 2026!
Sep-24-26: Continuous Diffusion Scales Competitively with Discrete Diffusion for Language accepted at NeurIPS 2026!
Jul-9-26: Panel discussion on Diffusion vs Autoregression at ICML 2026 SPIGM Workshop.
Jul-6-26: Guest Lecture at KAIST on Unlocking Lossless Speedups in LLMs via Discrete Diffusion.
Jun-03-26: Gave a tutorial on discrete diffusion at CVPR 2026 .
Apr-30-26: Eso-LMs and Scaling Beyond Masked Diffusion Language Models accepted at ICML 2026!
Apr-8-26: Interviewed by Julia Turc on Diffusion Language Models. [Short video , Full video]
Mar-3-26: Eso-LMs accepted at ICLR 2026, Workshop on Multimodal Intelligence as an oral!
Jan-26-26: The Diffusion Duality, Chapter II: Ψ-Samplers accepted at ICLR 2026!
Nov-23-25: Guest Lecture at KAIST on Simple Diffusion Language Models.
Oct-23-25: Invited talk at Radboud University on The Diffusion Duality.
Oct-15-25: Invited talk at Seoul National University on Foundations of Diffusion Language Models. [slides]
Oct-3-25: Defended my Ph.D. Thesis: Foundations of Diffusion Language Models. [slides]
Aug-13-25: Invited talk at Cerebras on Esoteric Language Models.
Aug-6-25: Invited talk at Meta (FAIR) on Foundations of Diffusion Language Models.
Jun-19-25: Invited talk at Google Deepmind on Esoteric Language Models.
May-1-25: Duo accepted at ICML 2025!
Apr-28-25: Presenting Duo as an oral at ICLR 2025, DeLTa workshop!
Apr-2-25: Invited talk at Databricks on Diffusion Language Models.
Mar-24-25: Invited talk at Genesis Therapeutics on Diffusion Language Models.
Mar-19-25: Invited for Research/Industrial Inference/PostTraining focused Round Table at Nvidia GTC-2025.
Mar-7-25: Invited talk at Nvidia on Diffusion Language Models. [slides]
Feb-11-25: BD3-LM and UDLM accepted at ICLR 2025! BD3-LM has been accepted as an oral!
Dec-10-24: MDLM and MuLAN accepted at NeurIPS 2025! MuLAN was presented as a spotlight!
Oct-11-24: Passed my Ph.D. Candidacy exam!
Jul-27-24: Presented MDLM as a spotlight at ICML 2024, AccMLBio workshop!
