@@ -52,50 +52,7 @@ <h2>Research</h2>
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- < table style ="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto; "> < tbody >
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- < tr onmouseout ="power_stop() " onmouseover ="power_start() " bgcolor ="#ffffd0 ">
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- < td style ="padding:16px;width:20%;vertical-align:middle ">
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- < div class ="two " id ='power_image '> < video width =100% height =100% muted autoplay loop >
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- < source src ="images/power.mp4 " type ="video/mp4 ">
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- Your browser does not support the video tag.
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- </ video > </ div >
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- < img src ='images/power.png ' width ="160 ">
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- </ div >
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- < script type ="text/javascript ">
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- function power_start ( ) {
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- document . getElementById ( 'power_image' ) . style . opacity = "1" ;
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- power_stop ( )
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- </ script >
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- </ td >
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- < td style ="padding:8px;width:80%;vertical-align:middle ">
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- < a href ="https://x.com/jon_barron/status/1891918200931061996 ">
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- < span class ="papertitle "> A Power Transform
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- </ span >
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- </ a >
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- < br >
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- < strong > Jonathan T. Barron</ strong >
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- < br >
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- < em > arXiv</ em > , 2025
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- < br >
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- < a href ="https://x.com/jon_barron/status/1891918200931061996 "> tweet</ a >
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- /
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- < a href ="https://arxiv.org/abs/2502.10647 "> arXiv</ a >
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- < p > </ p >
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- < p >
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- A slight tweak to the Box-Cox power transform generalizes a variety of curves, losses, kernel functions, probability distributions, bump functions, and neural network activation functions.
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- </ p >
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- </ td >
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- </ tr >
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+ < table style ="width:100%;border:0px;border-spacing:0px 10px;border-collapse:separate;margin-right:auto;margin-left:auto; "> < tbody >
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@@ -131,7 +88,7 @@ <h2>Research</h2>
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< a href ="https://pratulsrinivasan.github.io/ "> Pratul P. Srinivasan</ a > ,
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< a href ="https://dorverbin.github.io/ "> Dor Verbin</ a >
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< br >
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- < em > arXiv </ em > , 2024
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+ < em > CVPR </ em > , 2025
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< br >
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< a href ="https://relight-to-reconstruct.github.io/ "> project page</ a >
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/
@@ -182,7 +139,7 @@ <h2>Research</h2>
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< a href ="https://cseweb.ucsd.edu/~ravir/ "> Ravi Ramamoorthi</ a > ,
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< a href ="https://pratulsrinivasan.github.io/ "> Pratul P. Srinivasan</ a >
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< br >
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- < em > arXiv </ em > , 2024
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+ < em > CVPR </ em > , 2025
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< br >
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< a href ="https://alextrevithick.github.io/simvs/ "> project page</ a >
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/
@@ -230,7 +187,7 @@ <h2>Research</h2>
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< strong > Jonathan T. Barron</ strong > ,
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< a href ="https://holynski.org/ "> Aleksander Holynski</ a >
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< br >
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- < em > arXiv </ em > , 2024
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+ < em > CVPR </ em > , 2025
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< br >
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< a href ="https://cat-4d.github.io/ "> project page</ a >
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/
@@ -243,6 +200,48 @@ <h2>Research</h2>
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+ < tr onmouseout ="power_stop() " onmouseover ="power_start() " bgcolor ="#ffffd0 ">
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+ < td style ="padding:16px;width:20%;vertical-align:middle ">
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+ < div class ="one ">
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+ < div class ="two " id ='power_image '> < video width =100% height =100% muted autoplay loop >
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+ < source src ="images/power.mp4 " type ="video/mp4 ">
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+ Your browser does not support the video tag.
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+ </ video > </ div >
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+ < img src ='images/power.png ' width ="160 ">
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+ </ div >
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+ < script type ="text/javascript ">
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+ function power_start ( ) {
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+ document . getElementById ( 'power_image' ) . style . opacity = "1" ;
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+ }
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+
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+ function power_stop ( ) {
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+ document . getElementById ( 'power_image' ) . style . opacity = "0" ;
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+ }
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+ power_stop ( )
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+ </ script >
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+ </ td >
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+ < td style ="padding:8px;width:80%;vertical-align:middle ">
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+ < a href ="https://x.com/jon_barron/status/1891918200931061996 ">
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+ < span class ="papertitle "> A Power Transform
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+ </ span >
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+ </ a >
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+ < br >
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+ < strong > Jonathan T. Barron</ strong >
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+ < br >
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+ < em > arXiv</ em > , 2025
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+ < br >
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+ < a href ="https://x.com/jon_barron/status/1891918200931061996 "> tweet</ a >
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+ /
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+ < a href ="https://arxiv.org/abs/2502.10647 "> arXiv</ a >
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+ < p > </ p >
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+ < p >
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+ A slight tweak to the Box-Cox power transform generalizes a variety of curves, losses, kernel functions, probability distributions, bump functions, and neural network activation functions.
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+ </ p >
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+ </ td >
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+ </ tr >
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< tr onmouseout ="ever_stop() " onmouseover ="ever_start() ">
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< td style ="padding:16px;width:20%;vertical-align:middle ">
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< div class ="one ">
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