Babak Taati
@babaktaati.bsky.social
Senior Scientist at the Kite Research Institute | Toronto Rehab - University Health Network. Associate Professor, Affiliated Scientist in the Department of Computer Science, University of Toronto (cross appointed at the Institute of Biomedical Engineering)
KITE Research Rounds today (Oct 27) at noon!
Speaker: Dr. Devin Brown, Professor of Neurology at the University of Michigan
Title: Post-stroke sleep apnea
kite-uhn.com/talk/researc...
Speaker: Dr. Devin Brown, Professor of Neurology at the University of Michigan
Title: Post-stroke sleep apnea
kite-uhn.com/talk/researc...
October 27, 2025 at 1:21 PM
KITE Research Rounds today (Oct 27) at noon!
Speaker: Dr. Devin Brown, Professor of Neurology at the University of Michigan
Title: Post-stroke sleep apnea
kite-uhn.com/talk/researc...
Speaker: Dr. Devin Brown, Professor of Neurology at the University of Michigan
Title: Post-stroke sleep apnea
kite-uhn.com/talk/researc...
TPG outperforms SDXL, PAG, and SEG in unconditional generation, and closely matches CFG in conditional tasks across all metrics.
September 22, 2025 at 2:39 PM
TPG outperforms SDXL, PAG, and SEG in unconditional generation, and closely matches CFG in conditional tasks across all metrics.
TPG mirrors CFG by producing guidance vectors nearly orthogonal to ground-truth noise and maintaining strong guidance throughout denoising. Unlike PAG/SEG, it avoids negative alignment and weak updates, leading to more effective, high-quality generation.
September 22, 2025 at 2:39 PM
TPG mirrors CFG by producing guidance vectors nearly orthogonal to ground-truth noise and maintaining strong guidance throughout denoising. Unlike PAG/SEG, it avoids negative alignment and weak updates, leading to more effective, high-quality generation.
TPG, like CFG, effectively recovers global structure and coarse details during early denoising steps. This stage is crucial for image quality and prompt alignment, as it establishes the foundation for structure and semantics.
September 22, 2025 at 2:39 PM
TPG, like CFG, effectively recovers global structure and coarse details during early denoising steps. This stage is crucial for image quality and prompt alignment, as it establishes the foundation for structure and semantics.
In conditional generation, TPG produces better results and matches prompts more accurately than other attention-based methods like PAG and SEG. It also behaves more like CFG in how its guidance works and how often it applies.
September 22, 2025 at 2:39 PM
In conditional generation, TPG produces better results and matches prompts more accurately than other attention-based methods like PAG and SEG. It also behaves more like CFG in how its guidance works and how often it applies.
Our paper Token Perturbation Guidance (TPG) for Diffusion Models is accepted @neuripsconf.bsky.social 🥳
TPG is a simple & effective method based on token shuffling. It extends the benefits of CFG to broader settings, including unconditional generation.
arXiv: arxiv.org/abs/2506.10036
#NeurIPS2025
TPG is a simple & effective method based on token shuffling. It extends the benefits of CFG to broader settings, including unconditional generation.
arXiv: arxiv.org/abs/2506.10036
#NeurIPS2025
September 22, 2025 at 2:39 PM
Our paper Token Perturbation Guidance (TPG) for Diffusion Models is accepted @neuripsconf.bsky.social 🥳
TPG is a simple & effective method based on token shuffling. It extends the benefits of CFG to broader settings, including unconditional generation.
arXiv: arxiv.org/abs/2506.10036
#NeurIPS2025
TPG is a simple & effective method based on token shuffling. It extends the benefits of CFG to broader settings, including unconditional generation.
arXiv: arxiv.org/abs/2506.10036
#NeurIPS2025
Developed with Dr. Nimish Mittal, Dr. Amol Deshpande & Andrea Sabo at Kite Research Institute | Toronto Rehab - UHN.
September 20, 2025 at 12:29 AM
Developed with Dr. Nimish Mittal, Dr. Amol Deshpande & Andrea Sabo at Kite Research Institute | Toronto Rehab - UHN.
Dr. Azadeh Yadollahi will be our next KITE Research Rounds Speaker
Title: Development of physiology-driven machine learning algorithms to assess cardio-respiratory function and diagnose sleep apnea
Date: Jan 27, 2025
Location: TRI 2nd floor auditorium
kite-uhn.com/talk/yadolla...
Title: Development of physiology-driven machine learning algorithms to assess cardio-respiratory function and diagnose sleep apnea
Date: Jan 27, 2025
Location: TRI 2nd floor auditorium
kite-uhn.com/talk/yadolla...
January 14, 2025 at 4:31 PM
Dr. Azadeh Yadollahi will be our next KITE Research Rounds Speaker
Title: Development of physiology-driven machine learning algorithms to assess cardio-respiratory function and diagnose sleep apnea
Date: Jan 27, 2025
Location: TRI 2nd floor auditorium
kite-uhn.com/talk/yadolla...
Title: Development of physiology-driven machine learning algorithms to assess cardio-respiratory function and diagnose sleep apnea
Date: Jan 27, 2025
Location: TRI 2nd floor auditorium
kite-uhn.com/talk/yadolla...
Dr. Diego Guarin will be our KITE Research Rounds speaker on Nov 25.
Title: Unmasking Early Motor Deficits in Parkinson's Disease: Leveraging Machine Learning and Video-Based Analysis for Improved Detection and Disease Tracking
kite-uhn.com/talk/rounds-...
Title: Unmasking Early Motor Deficits in Parkinson's Disease: Leveraging Machine Learning and Video-Based Analysis for Improved Detection and Disease Tracking
kite-uhn.com/talk/rounds-...
November 21, 2024 at 3:26 PM
Dr. Diego Guarin will be our KITE Research Rounds speaker on Nov 25.
Title: Unmasking Early Motor Deficits in Parkinson's Disease: Leveraging Machine Learning and Video-Based Analysis for Improved Detection and Disease Tracking
kite-uhn.com/talk/rounds-...
Title: Unmasking Early Motor Deficits in Parkinson's Disease: Leveraging Machine Learning and Video-Based Analysis for Improved Detection and Disease Tracking
kite-uhn.com/talk/rounds-...