DOI,IST REx ID,Research Group,Title of publication
null,19007,FrLo,Identifiable object-centric representation learning via probabilistic slot attention
10.1145/3680528.3687591,19028,,A statistical approach to Monte Carlo denoising
10.5281/ZENODO.10687169,19307,CaMu,Data - The unreasonable efficiency of total rain evaporation removal in triggering convective self-aggregation
null,19408,ChLa,Continual learning: Applications and the road forward
10.1038/s44220-024-00316-z,19446,GaNo,Large-scale population data enrichment in mental health research
10.1016/j.cmet.2024.11.009,19470,,Acute and circadian feedforward regulation of agouti-related peptide hunger neurons
10.1093/imrn/rnad266,19486,,The 3-isogeny selmer groups of the elliptic curves y2=x3+n2
null,19510,DaAl,MICROADAM: Accurate adaptive optimization with low space overhead and provable convergence
null,19511,DaAl,QuaRot: Outlier-free 4-bit inference in rotated LLMs
null,19512,MoHe,Continual counting with gradual privacy expiration
null,19515,FrLo,Latent functional maps: A spectral framework for representation alignment
null,19517,FrLo,C2M3: Cycle-consistent multi-model merging
null,19518,"DaAl,MaMo",The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information
null,19519,DaAl,PV-tuning: Beyond straight-through estimation for extreme LLM compression
10.1101/2024.09.20.614050,19520,"LoSw,TiVo,Bio,NiBa",Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis
10.5281/ZENODO.13854759,19800,ToHe,Mapping the attractor landscape of Boolean networks
10.1073/pnas.2318159121,19809,,The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals
10.1103/physrevx.14.031013,19816,,Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2
10.5281/ZENODO.14213091,19884,DaAl,MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models
10.1038/s44220-024-00315-0,20039,GaNo,A protocol for data harmonization in large cohorts