adjusted formatting for Papers page

Papers.md

@@ -10,83 +10,62 @@ We have completed reviews for the 2024 ICML ML4ESM Workshop. Some of these paper
 
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-SRViT: Vision Transformers for Estimating
-Radar Reflectivity from Satellite Observations at Scale
+**[SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale](https://arxiv.org/abs/2406.16955)**
 
 Jason Stock, Kyle Hilburn, Imme Ebert-Uphoff, Charles Anderson
 
-https://arxiv.org/abs/2406.16955
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-Using Neural Networks for Data Cleaning in Weather Datasets
+**[Using Neural Networks for Data Cleaning in Weather Datasets](https://arxiv.org/abs/2406.15027)**
 
 Jack R. P. Hanslope, Laurence Aitchison
 
-https://arxiv.org/abs/2406.15027
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-Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
+**[Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network](https://arxiv.org/abs/2406.15299)**
 
 Zesheng Liu, Maryam Rahnemoonfar
 
-https://arxiv.org/abs/2406.15299
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-Valid Error Bars for Neural Weather Models using Conformal Prediction
+**[Valid Error Bars for Neural Weather Models using Conformal Prediction](https://arxiv.org/abs/2406.14483)**
 
 Vignesh Gopakumar, Joel Oskarrson, Ander Gray, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt Kusner, Marc Deisenroth
 
-https://arxiv.org/abs/2406.14483
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-LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles
+**[LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles](https://arxiv.org/abs/2405.16297)**
 
 Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
 
-https://arxiv.org/abs/2405.16297
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-Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing (oral)
+**[Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing (oral)](https://arxiv.org/abs/2405.18585)**
 
 Surya Dheeshjith, Adam Subel, Shubham Gupta, Alistair Adcroft, Carlos Fernandez-Granda, Julius Busecke, Laure Zanna
 
-https://arxiv.org/abs/2405.18585
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-ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution
+**[ArchesWeather: An efficient AI weather forecasting model at 1.5° resolution](https://arxiv.org/abs/2405.14527v1)**
 
 Guillaume Couairon, Christian Lessig, Anastase Charantonis, Claire Monteleoni
 
-https://arxiv.org/abs/2405.14527v1
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-Probabilistic Emulation of a Global Climate Model with Spherical DYffusion (oral)
+**[Probabilistic Emulation of a Global Climate Model with Spherical DYffusion (oral)](https://arxiv.org/abs/2406.14798)**
 
 Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu
 
-https://arxiv.org/abs/2406.14798
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-A Generative Machine Learning Approach for Improving Precipitation from Earth System Models
+**[A Generative Machine Learning Approach for Improving Precipitation from Earth System Models](https://arxiv.org/abs/2406.15026)**
 
 Philipp Hess, Niklas Boers
 
-https://arxiv.org/abs/2406.15026
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-Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling
+**[Dynamic Basis Function Interpolation for Adaptive In Situ Data Integration in Ocean Modeling](https://arxiv.org/abs/2301.05551)**
 
 Derek DeSantis, Ayan Biswas Earl Lawrence, Phillip Wolfram
 
-https://arxiv.org/abs/2301.05551
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