Summary of Laser: Attention with Exponential Transformation, by Sai Surya Duvvuri et al.
LASER: Attention with Exponential Transformationby Sai Surya Duvvuri, Inderjit S. DhillonFirst submitted to arxiv on:…
Summary of Local Loss Optimization in the Infinite Width: Stable Parameterization Of Predictive Coding Networks and Target Propagation, by Satoki Ishikawa et al.
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target…
Summary of Online Relational Inference For Evolving Multi-agent Interacting Systems, by Beomseok Kang et al.
Online Relational Inference for Evolving Multi-agent Interacting Systemsby Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep…
Summary of Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame, by Evan Markou et al.
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frameby Evan Markou, Thalaiyasingam Ajanthan,…
Summary of Gradient-free Training Of Recurrent Neural Networks, by Erik Lien Bolager et al.
Gradient-free training of recurrent neural networksby Erik Lien Bolager, Ana Cukarska, Iryna Burak, Zahra Monfared,…
Summary of Robust and Unbounded Length Generalization in Autoregressive Transformer-based Text-to-speech, by Eric Battenberg et al.
Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speechby Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton,…
Summary of Trajectory Flow Matching with Applications to Clinical Time Series Modeling, by Xi Zhang et al.
Trajectory Flow Matching with Applications to Clinical Time Series Modelingby Xi Zhang, Yuan Pu, Yuki…
Summary of Fast Constrained Sampling in Pre-trained Diffusion Models, by Alexandros Graikos et al.
Fast constrained sampling in pre-trained diffusion modelsby Alexandros Graikos, Nebojsa Jojic, Dimitris SamarasFirst submitted to…
Summary of Parallel Backpropagation For Inverse Of a Convolution with Application to Normalizing Flows, by Sandeep Nagar et al.
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flowsby Sandeep Nagar, Girish…
Summary of Fine-tuning Discrete Diffusion Models Via Reward Optimization with Applications to Dna and Protein Design, by Chenyu Wang et al.
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Designby Chenyu…