DOI,IST REx ID,Title of publication
10.1007/s10686-021-09709-9,17534,Unveiling the gravitational universe at μ-Hz frequencies
10.1093/mnras/stab1978,17574,The impact of baryons on cosmological inference from weak lensing statistics
10.1093/mnras/stab1856,17577,"Ultra-short-period massive black hole binary candidates in LSST as LISA ‘verification binaries’"
10.1103/physrevd.104.103022,17578,Nucleosynthetic signatures of primordial origin around supermassive black holes
10.3847/2041-8213/abd4d3,17583,Eccentric black hole mergers in active galactic nuclei
10.1093/mnras/stab2315,17585,Signatures of hierarchical mergers in black hole spin and mass distribution
10.1093/mnras/stab2893,17586,Binary black hole signatures in polarized light curves
10.3847/2041-8213/ac2cc1,17589,"Black hole mergers of AGN origin in LIGO–Virgo’s O1–O3a observing periods"
10.3847/2041-8213/abdd1c,17592,Equilibrium eccentricity of accreting binaries
10.1007/s10714-021-02889-x,17593,The effect of mission duration on LISA science objectives
10.3847/1538-4357/ac106d,17598,Gravitational wave backgrounds from coalescing black hole binaries at cosmic dawn: An upper bound
10.1093/mnras/stab692,17610,Forming massive seed black holes in high-redshift quasar host progenitors
10.1039/d1sc02287c,17899,Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators
10.1103/physrevlett.127.150504,18192,Analyzing nonequilibrium quantum states through snapshots with artificial neural networks
10.1103/physrevb.103.l161101,18193,Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model
10.1007/s10994-021-06053-z,18233,Loss aware post-training quantization
10.1016/j.patrec.2021.05.010,18235,MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
10.1145/3444943,18237,UNIQ: Uniform Noise Injection for Non-Uniform Quantization of neural networks
10.3390/su13020717,18238,Early-stage neural network hardware performance analysis
10.1109/iccv48922.2021.00182,18239,Detector-free weakly supervised grounding by separation
