301 citations · 506 across the 11 of their papers we have counts for
12 papers
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
Mark Schöne, Babak Rahmani, Heiner Kremer +3
State-space models (SSMs) and transformers dominate the language modeling landscape. However, they are constrained to a lower computational complexity than classical recurrent neur…
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil +2
Structural Causal Models (SCMs) offer a principled framework to reason about interventions and support out-of-distribution generalization, which are key goals in scientific discove…
Resolution dependence of most probable pathways with state-dependent diffusivity
Alice L. Thorneywork, Jannes Gladrow, Ulrich F. Keyser +3
Recent experiments have probed the relative likelihoods of trajectories in stochastic systems by observing survival probabilities within a tube of radius in spacetime. We measu…
Efficient data transport over multimode light-pipes with Megapixel images using differentiable ray tracing and Machine-learning
Joowon Lim, Jannes Gladrow, Douglas Kelly +5
Retrieving images transmitted through multi-mode fibers is of growing interest, thanks to their ability to confine and transport light efficiently in a compact system. Here, we dem…
Experimental measurement of relative path probabilities and stochastic actions
Jannes Gladrow, Ulrich F. Keyser, R. Adhikari +1
For diffusive stochastic dynamics, the probability to observe any individual trajectory is vanishingly small, making it unclear how to experimentally validate theoretical results f…
Experimental evidence of symmetry breaking of transition-path times
Jannes Gladrow, Marco Ribezzi-Crivellari, Felix Ritort +1
While Kramers' rates have been studied for almost a century, the transition path time between states has only recently received attention. Transition paths between different energy…
Optimizing Brownian escape rates by potential shaping
Marie Chupeau, Jannes Gladrow, Alexei Chepelianskii +2
Brownian escape is key to a wealth of physico-chemical processes, including polymer folding, and information storage. The frequency of thermally activated energy barrier crossings…
Digital phase-only holography using deep conditional generative models
Jannes Gladrow
Holographic wave-shaping has found numerous applications across the physical sciences, especially since the development of digital spatial-light modulators (SLMs). A key challenge…
Broken detailed balance and non-equilibrium dynamics in living systems
F. Gnesotto, F. Mura, J. Gladrow +1
Living systems operate far from thermodynamic equilibrium. Enzymatic activity can induce broken detailed balance at the molecular scale. This molecular scale breaking of detailed b…
Particle transport across a channel via an oscillating potential
Yizhou Tan, Leonardo Dagdug, Jannes Gladrow +2
Membrane protein transporters alternate their substrate-binding sites between the extracellular and cytosolic side of the membrane according to the alternating access mechanism. In…
Nonequilibrium dynamics of probe filaments in actin-myosin networks
Jannes Gladrow, Chase P. Broedersz, Christoph F. Schmidt
Active dynamic processes of cells are largely driven by the cytoskeleton, a complex and adaptable semiflexible polymer network, motorized by mechanoenzymes. Small dimensions, confi…
Broken Detailed Balance of Filament Dynamics in Active Networks
J. Gladrow, N. Fakhri, F. C. MacKintosh +2
Myosin motor proteins drive vigorous steady-state fluctuations in the actin cytoskeleton of cells. Endogenous embedded semiflexible filaments such as microtubules, or added filamen…