🎉Excited to share that our paper "𝐇𝐮𝐦𝐚𝐧-𝐀𝐥𝐢𝐠𝐧𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐕𝐢𝐬𝐮𝐚𝐥 𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐁𝐫𝐚𝐢𝐧" has been accepted to #ICML2025!
🔗 Preprint Link: arxiv.org/abs/2502.03081
Huge thanks to my co-authors!
🔗 Preprint Link: arxiv.org/abs/2502.03081
Huge thanks to my co-authors!
Human-Aligned Image Models Improve Visual Decoding from the Brain
Decoding visual images from brain activity has significant potential for advancing brain-computer interaction and enhancing the understanding of human perception. Recent approaches align the represent...
arxiv.org
May 2, 2025 at 9:23 AM
🎉Excited to share that our paper "𝐇𝐮𝐦𝐚𝐧-𝐀𝐥𝐢𝐠𝐧𝐞𝐝 𝐈𝐦𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐈𝐦𝐩𝐫𝐨𝐯𝐞 𝐕𝐢𝐬𝐮𝐚𝐥 𝐃𝐞𝐜𝐨𝐝𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐁𝐫𝐚𝐢𝐧" has been accepted to #ICML2025!
🔗 Preprint Link: arxiv.org/abs/2502.03081
Huge thanks to my co-authors!
🔗 Preprint Link: arxiv.org/abs/2502.03081
Huge thanks to my co-authors!
I’m attending #NeurIPS in Vancouver from Tuesday to Sunday.
I’ll be presenting our paper “Amplified Early Stopping Bias: Overestimated Performance with Deep Learning” in the Scientific Methods for Understanding Deep Learning Workshop.
Let’s meet especially if you are interested in Neuroscience!
I’ll be presenting our paper “Amplified Early Stopping Bias: Overestimated Performance with Deep Learning” in the Scientific Methods for Understanding Deep Learning Workshop.
Let’s meet especially if you are interested in Neuroscience!
December 11, 2024 at 2:38 AM
I’m attending #NeurIPS in Vancouver from Tuesday to Sunday.
I’ll be presenting our paper “Amplified Early Stopping Bias: Overestimated Performance with Deep Learning” in the Scientific Methods for Understanding Deep Learning Workshop.
Let’s meet especially if you are interested in Neuroscience!
I’ll be presenting our paper “Amplified Early Stopping Bias: Overestimated Performance with Deep Learning” in the Scientific Methods for Understanding Deep Learning Workshop.
Let’s meet especially if you are interested in Neuroscience!