1. Madhuresh, S. Vadlamani, A. Apte, "Contraction rates for Bayesian inverse problems”, arxiv:1412.8016
     
  2. K.S. Gurumoorthy, C. Grudzien, A. Apte, A. Carrassi, C.K.R.T. Jones, "Rank deficiency of Kalman error covariance matrices in linear perfect model," arxiv:1503:05029
     
  3. Abrupt growth of large aggregates by correlated coalescences in turbulent flow, J. Bec, Samriddhi Sankar Ray, E.-W. Saw and H. Homann. Arxiv: 1507.02034; submitted (2015).
     
  4. Effect of inertia on Model Flocks in a Turbulent Environtment,  A. Choudhary, D. Venkataraman, and Samriddhi Sankar Ray. submitted (2015).
     
  5. Bending dynamics of semi-flexible macromolecules in isotropic turbulence, A. Ali, Samriddhi Sankar Ray, and D. Vincenzi. Arxiv: 1403.4051 
     
  6. Thermalised solutions, statistical mechanics and turbulence: An overview of some recent results, Samriddhi Sankar Ray. Perspectives in Nonlinear Dynamics, Pramana, 84 (2015). 
     
  7. Extreme fluctuations of the relative velocities between droplets in a turbulent airflow, E.-W. Saw, G. P. Bewley, E. Bodenschatz, Samriddhi Sankar Ray, and J. Bec. Physics of Fluids Letters, 26, 111702 (2014). 
     
  8. A. Ghosh, W. Del Pozzo and P. Ajith, Estimating parameters of binary black holes from gravitational-wave observations of their inspiral, merger and ringdown, Submitted to Phys. Rev. D (2015). arXiv:1505.05607 28.
     
  9. C. Kalaghatgi, P. Ajith and K. G. Arun, Template-space metric for searches for gravitational waves from the inspiral, merger and ringdown of binary black holes, Phys. Rev. D 91, 124042 (2015).
     
  10. V. Varma, P. Ajith, S. Husa, J. C. Bustillo, M. Hannam and M. Pürrer, Gravitational-wave observations of binary black holes: Effect of non-quadrupole modes, Phys. Rev. D 90, 124004 (2014).
     
  11. N. K. Johnson-McDaniel, Abhay G. Shah, and Bernard F. Whiting, Experimental mathematics meets gravitational self-force, Phys. Rev. D 92, 044007 (2015) (selected as a Phys. Rev. D Editors’ Suggestion)
     
  12. Tim Dietrich, Niclas Moldenhauer, N. K. Johnson-McDaniel, Sebastiano Bernuzzi, Charalampos M. Markakis, Bernd Brügmann, and Wolfgang Tichy, Binary Neutron Stars with Generic Spin, Eccentricity, Mass ratio, and Compactness - Quasi-equilibrium Sequences and First Evolutions, arXiv:1507.07100, submitted to Phys. Rev. D.
     
  13. Shasvath J. Kapadia, N. K. Johnson-McDaniel, and P. Ajith, Estimating effective higher order terms in the post-Newtonian binding energy and gravitational-wave flux: Non-spinning compact binary inspiral, Submitted to Phys. Rev. D. (2015).
     
  14. Abhirup Ghosh, Parameswaran Ajith, Archisman Ghosh, Walter Del Pozzo, David Nichols and Yanbei Chen, Testing general relativity using golden black-hole binaries, In preparation.
     
  15. Bending dynamics of semi-flexible particles in isotropic turbulence, Aamir Ali, Samriddhi Sankar Ray, and Dario Vincenzi., Arxiv : 1403.4051.
     
  16. Gravity-driven enhancement of heavy particle clustering in turbulent flow, Jérémie Bec Holgar Homann, and Samriddhi Sankar Ray, Physical Review Letters 112, 184501 (2014).
     
  17. Extreme fluctuations of the relative velocities between droplets in turbulent airflow, Ewe-Wei Saw, Gregory P. Bewley, Eberhard Bodenschatz, Samriddhi Sankar Ray, and Jérémie Bec, Physics of Fluids Letters 26, 111702 (2014).
     
  18. The onset of thermalisation in dissipative equations of hydrodynamics, Debarghya Banerjee and Samriddhi Sankar Ray., Physical Review E (Rapid) 90, 041001(R) (2014).
     
  19. Thermalised solutions, statistical mechanics and turbulence: An overview of some recent results, Samriddhi Sankar Ray., Perspectives in Nonlinear Dynamics (in press) (2014).
     
  20. Variational and Bayesian inverse problems for Burgers’ equation: an introduction to data assimilation, Amit Apte, proceedings of conference Emerging Trends in Applied Mathematics, Department of Applied Mathematics, University of Calcutta (2014). (preprint)
     
  21. Amit Dhurandhar and Karthik S. Gurumoorthy, Symmetric submodular clustering with actionable constraint, Discrete Optimization in Machine Learning, A Neural Information Processing Systems (NIPS) Workshop, 2014. arXiv:1409.6967
     
  22. Karthik S. Gurumoorthy and Anand Rangarajan, The Schrodinger formalism for simultaneously computing the Euclidean distance transform and its gradient density, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2014. In press (preprint)
     
  23. Adrian M. Peter, Karthik S. Gurumoorthy, Mark Moyou and Anand Rangarajan, A new energy minimization framework and sparse linear system for path planning and shape from shading, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2014. In press (preprint)
     
  24. Karthik S. Gurumoorthy and Anand Rangarajan, Convergence rate for gradient density estimation computed from a finite sample set using the method of stationary phase, Submitted to Journal of Fourier Analysis and Applications (JFAA). (preprint)
     
  25. V.Varma, P.Ajith, S.Husa, J.C.Bustillo, M.Hannam and M.Puerer, Gravitational-wave observations of binary black holes: Effect of non-quadrupole modes, Accepted for publication in Phys. Rev. D. (2014). arXiv:1409.2349
     
  26. P. Ajith, T. Isogai, N. Christensen, R. Adhikari, A. B. Pearlman, A. Wein, A. J. Weinstein, B. Yuan, Instrumental vetoes for transient gravitational-wave triggers using noise-coupling models: The bilinear-coupling veto, Phys. Rev. D 89, 122001 (2014).
     
  27. P. Ajith, N. Fotopoulos, S. Privitera, A. Neunzert, N. Mazumder, A. J. Weinstein, An effectual template bank for the detection of gravitational waves from inspiralling compact binaries with generic spins, Phys. Rev. D 89, 084041 (2014).
     
  28. S. Privitera, S.R.P. Mohapatra, P. Ajith, K. Cannon, N. Fotopoulos, M. A. Frei, C. Hanna, A. J. Weinstein, J. T. Whelan, Improving the sensitivity of a search for coalescing binary black holes with non-precessing spins in gravitational wave data, Phys. Rev. D 89, 024003 (2014).
     
  29. Bayesian approach to inverse problems, Amit Apte, Madhuresh, Sreekar Vadlamani, in preparation, 2014.
     
  30. A Hybrid Particle-Ensemble Kalman Filter for Lagrangian Data Assimilation, Laura Slivinski, Elaine Spiller, Amit Apte, Bjorn Sandstede, Monthly Weather Review (accepted) 2014. (preprint)
     
  31. A hybrid particle-ensemble Kalman filter for high dimensional Lagrangian data assimilation, Laura Slivinski, Elaine Spiller, Amit Apte, Proceedings of Dynamic Data-driven Environmental Systems Science Conference, MIT, to be published in Lecture Notes in Computer Science, 2014. (preprint)
     
  32. M.Puerer, M.Hannam, P.Ajith, S.Husa,Testing the validity of the single-spin approximation in inspiral-merger-ringdown waveforms, Phys. Rev. D 88, 064007 (2013).